{ "completed": true, "approved_key_real_inference": true, "rate_limit_verified": true, "revocation_verified": true, "examples": { "open-emotions": { "sliding_http": { "task": "open-emotions", "model": "mts-the-architect/open-emotions-gemma4-e2b-bf16-lora", "mode": "sliding", "target": null, "window_size": 64, "threshold": 0.30000000000000004, "context_tokens": 145, "context_capacity": 63, "overlap_tokens": 16, "skipped_windows_without_complete_target": 0, "windows": [ { "token_start": 0, "token_end": 63, "char_start": 0, "char_end": 283, "input_tokens": 64, "text": "Thank you for helping me! I am relieved and grateful. Thank you for helping me! I am relieved and grateful. Thank you for helping me! I am relieved and grateful. Thank you for helping me! I am relieved and grateful. Thank you for helping me! I am relieved and grateful. Thank you for", "labels": [ "gratitude" ], "scores": { "admiration": 0.041513, "amusement": 0.003519, "anger": 0.003505, "annoyance": 0.004533, "approval": 0.011628, "caring": 0.015422, "confusion": 0.002911, "curiosity": 0.003675, "desire": 0.002676, "disappointment": 0.003645, "disapproval": 0.002895, "disgust": 0.001577, "embarrassment": 0.000416, "excitement": 0.002403, "fear": 0.000383, "gratitude": 0.996521, "grief": 0.00074, "joy": 0.024384, "love": 0.018912, "nervousness": 0.002729, "optimism": 0.007321, "pride": 0.001001, "realization": 0.006394, "relief": 0.04807, "remorse": 0.006535, "sadness": 0.006693, "surprise": 0.00126, "neutral": 0.002497 } }, { "token_start": 47, "token_end": 110, "char_start": 214, "char_end": 495, "input_tokens": 64, "text": ". Thank you for helping me! I am relieved and grateful. Thank you for helping me! I am relieved and grateful. Thank you for helping me! I am relieved and grateful. Thank you for helping me! I am relieved and grateful. Thank you for helping me! I am relieved and grateful. Thank you", "labels": [ "gratitude" ], "scores": { "admiration": 0.034131, "amusement": 0.004018, "anger": 0.002762, "annoyance": 0.003147, "approval": 0.009066, "caring": 0.012761, "confusion": 0.001265, "curiosity": 0.002573, "desire": 0.001894, "disappointment": 0.002178, "disapproval": 0.002085, "disgust": 0.001809, "embarrassment": 0.000342, "excitement": 0.002992, "fear": 0.00035, "gratitude": 0.9967, "grief": 0.000888, "joy": 0.019647, "love": 0.014993, "nervousness": 0.001408, "optimism": 0.00764, "pride": 0.000941, "realization": 0.00578, "relief": 0.02111, "remorse": 0.0048, "sadness": 0.006863, "surprise": 0.001915, "neutral": 0.001488 } }, { "token_start": 94, "token_end": 145, "char_start": 421, "char_end": 648, "input_tokens": 52, "text": " grateful. Thank you for helping me! I am relieved and grateful. Thank you for helping me! I am relieved and grateful. Thank you for helping me! I am relieved and grateful. Thank you for helping me! I am relieved and grateful. 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Max/mean summaries are uncalibrated. Sensory scores are target associations, not verified sensation presence." }, "short_input": { "task": "open-emotions", "model": "mts-the-architect/open-emotions-gemma4-e2b-bf16-lora", "mode": "sliding", "target": null, "window_size": 128, "threshold": 0.30000000000000004, "context_tokens": 12, "context_capacity": 127, "overlap_tokens": 32, "skipped_windows_without_complete_target": 0, "windows": [ { "token_start": 0, "token_end": 12, "char_start": 0, "char_end": 53, "input_tokens": 13, "text": "Thank you for helping me! I am relieved and grateful.", "labels": [ "gratitude" ], "scores": { "admiration": 0.050583, "amusement": 0.000419, "anger": 0.000548, "annoyance": 0.000999, "approval": 0.009753, "caring": 0.01698, "confusion": 0.00052, "curiosity": 0.000915, "desire": 0.000581, "disappointment": 0.001074, "disapproval": 0.000448, "disgust": 0.000396, "embarrassment": 0.000221, "excitement": 0.000634, "fear": 0.000538, "gratitude": 0.999441, "grief": 0.000596, "joy": 0.040355, "love": 0.005296, "nervousness": 0.001468, "optimism": 0.015639, "pride": 0.002224, "realization": 0.004838, "relief": 0.044039, "remorse": 0.001791, "sadness": 0.009951, "surprise": 0.001762, "neutral": 0.000492 } } ], "exploratory_summary": { "admiration": { "max_score": 0.050583, "mean_score": 0.050583 }, "amusement": { "max_score": 0.000419, "mean_score": 0.000419 }, "anger": { "max_score": 0.000548, "mean_score": 0.000548 }, "annoyance": { "max_score": 0.000999, "mean_score": 0.000999 }, "approval": { "max_score": 0.009753, "mean_score": 0.009753 }, "caring": { "max_score": 0.01698, "mean_score": 0.01698 }, "confusion": { "max_score": 0.00052, "mean_score": 0.00052 }, "curiosity": { "max_score": 0.000915, "mean_score": 0.000915 }, "desire": { "max_score": 0.000581, "mean_score": 0.000581 }, "disappointment": { "max_score": 0.001074, "mean_score": 0.001074 }, "disapproval": { "max_score": 0.000448, "mean_score": 0.000448 }, "disgust": { "max_score": 0.000396, "mean_score": 0.000396 }, "embarrassment": { "max_score": 0.000221, "mean_score": 0.000221 }, "excitement": { "max_score": 0.000634, "mean_score": 0.000634 }, "fear": { "max_score": 0.000538, "mean_score": 0.000538 }, "gratitude": { "max_score": 0.999441, "mean_score": 0.999441 }, "grief": { "max_score": 0.000596, "mean_score": 0.000596 }, "joy": { "max_score": 0.040355, "mean_score": 0.040355 }, "love": { "max_score": 0.005296, "mean_score": 0.005296 }, "nervousness": { "max_score": 0.001468, "mean_score": 0.001468 }, "optimism": { "max_score": 0.015639, "mean_score": 0.015639 }, "pride": { "max_score": 0.002224, "mean_score": 0.002224 }, "realization": { "max_score": 0.004838, "mean_score": 0.004838 }, "relief": { "max_score": 0.044039, "mean_score": 0.044039 }, "remorse": { "max_score": 0.001791, "mean_score": 0.001791 }, "sadness": { "max_score": 0.009951, "mean_score": 0.009951 }, "surprise": { "max_score": 0.001762, "mean_score": 0.001762 }, "neutral": { "max_score": 0.000492, "mean_score": 0.000492 } }, "interpretation": "Per-window labels use short-input thresholds. Max/mean summaries are uncalibrated. Sensory scores are target associations, not verified sensation presence." } }, "open-morals": { "sliding_http": { "task": "open-morals", "model": "mts-the-architect/open-morals-gemma4-e2b-bf16-lora", "mode": "sliding", "target": null, "window_size": 64, "threshold": 0.3500000000000001, "context_tokens": 121, "context_capacity": 63, "overlap_tokens": 16, "skipped_windows_without_complete_target": 0, "windows": [ { "token_start": 0, "token_end": 63, "char_start": 0, "char_end": 395, "input_tokens": 64, "text": "We should protect vulnerable people and treat everyone fairly. We should protect vulnerable people and treat everyone fairly. We should protect vulnerable people and treat everyone fairly. We should protect vulnerable people and treat everyone fairly. We should protect vulnerable people and treat everyone fairly. We should protect vulnerable people and treat everyone fairly. We should protect", "labels": [ "care", "equality" ], "scores": { "care": 0.667691, "equality": 0.659401, "proportionality": 0.068749, "loyalty": 0.143559, "authority": 0.159086, "purity": 0.057671, "thin_morality": 0.062583, "non_moral": 0.046736 } }, { "token_start": 47, "token_end": 110, "char_start": 297, "char_end": 692, "input_tokens": 64, "text": " everyone fairly. We should protect vulnerable people and treat everyone fairly. We should protect vulnerable people and treat everyone fairly. We should protect vulnerable people and treat everyone fairly. We should protect vulnerable people and treat everyone fairly. We should protect vulnerable people and treat everyone fairly. We should protect vulnerable people and treat everyone fairly.", "labels": [ "care", "equality" ], "scores": { "care": 0.85745, "equality": 0.771722, "proportionality": 0.2034, "loyalty": 0.091148, "authority": 0.128783, "purity": 0.015255, "thin_morality": 0.057779, "non_moral": 0.018437 } }, { "token_start": 94, "token_end": 121, "char_start": 595, "char_end": 756, "input_tokens": 28, "text": " people and treat everyone fairly. We should protect vulnerable people and treat everyone fairly. We should protect vulnerable people and treat everyone fairly. ", "labels": [ "care", "equality" ], "scores": { "care": 0.672094, "equality": 0.711706, "proportionality": 0.128511, "loyalty": 0.045771, "authority": 0.201972, "purity": 0.0212, "thin_morality": 0.061592, "non_moral": 0.028702 } } ], "exploratory_summary": { "care": { "max_score": 0.85745, "mean_score": 0.732412 }, "equality": { "max_score": 0.771722, "mean_score": 0.714276 }, "proportionality": { "max_score": 0.2034, "mean_score": 0.133553 }, "loyalty": { "max_score": 0.143559, "mean_score": 0.093493 }, "authority": { "max_score": 0.201972, "mean_score": 0.163281 }, "purity": { "max_score": 0.057671, "mean_score": 0.031375 }, "thin_morality": { "max_score": 0.062583, "mean_score": 0.060651 }, "non_moral": { "max_score": 0.046736, "mean_score": 0.031292 } }, "interpretation": "Per-window labels use short-input thresholds. Max/mean summaries are uncalibrated. Sensory scores are target associations, not verified sensation presence." }, "short_input": { "task": "open-morals", "model": "mts-the-architect/open-morals-gemma4-e2b-bf16-lora", "mode": "sliding", "target": null, "window_size": 256, "threshold": 0.3500000000000001, "context_tokens": 10, "context_capacity": 255, "overlap_tokens": 64, "skipped_windows_without_complete_target": 0, "windows": [ { "token_start": 0, "token_end": 10, "char_start": 0, "char_end": 62, "input_tokens": 11, "text": "We should protect vulnerable people and treat everyone fairly.", "labels": [ "care", "equality" ], "scores": { "care": 0.748752, "equality": 0.763272, "proportionality": 0.116037, "loyalty": 0.01631, "authority": 0.027373, "purity": 0.014059, "thin_morality": 0.020363, "non_moral": 0.026168 } } ], "exploratory_summary": { "care": { "max_score": 0.748752, "mean_score": 0.748752 }, "equality": { "max_score": 0.763272, "mean_score": 0.763272 }, "proportionality": { "max_score": 0.116037, "mean_score": 0.116037 }, "loyalty": { "max_score": 0.01631, "mean_score": 0.01631 }, "authority": { "max_score": 0.027373, "mean_score": 0.027373 }, "purity": { "max_score": 0.014059, "mean_score": 0.014059 }, "thin_morality": { "max_score": 0.020363, "mean_score": 0.020363 }, "non_moral": { "max_score": 0.026168, "mean_score": 0.026168 } }, "interpretation": "Per-window labels use short-input thresholds. Max/mean summaries are uncalibrated. Sensory scores are target associations, not verified sensation presence." } }, "open-sensations": { "sliding_http": { "task": "open-sensations", "model": "mts-the-architect/open-sensations-gemma4-e2b-bf16-lora", "mode": "sliding", "target": "aroma", "window_size": 64, "threshold": 0.30000000000000004, "context_tokens": 121, "context_capacity": 57, "overlap_tokens": 16, "skipped_windows_without_complete_target": 0, "windows": [ { "token_start": 0, "token_end": 57, "char_start": 0, "char_end": 316, "input_tokens": 64, "text": "The aroma of freshly brewed coffee filled the kitchen. The aroma of freshly brewed coffee filled the kitchen. The aroma of freshly brewed coffee filled the kitchen. The aroma of freshly brewed coffee filled the kitchen. The aroma of freshly brewed coffee filled the kitchen. The aroma of freshly brewed coffee filled", "labels": [ "hearing", "smell", "taste", "interoception" ], "scores": { "vision": 0.266708, "hearing": 0.764945, "smell": 0.723001, "taste": 0.698191, "touch": 0.255792, "interoception": 0.45279 } }, { "token_start": 41, "token_end": 98, "char_start": 223, "char_end": 540, "input_tokens": 64, "text": " aroma of freshly brewed coffee filled the kitchen. The aroma of freshly brewed coffee filled the kitchen. The aroma of freshly brewed coffee filled the kitchen. The aroma of freshly brewed coffee filled the kitchen. The aroma of freshly brewed coffee filled the kitchen. The aroma of freshly brewed coffee filled the", "labels": [ "vision", "smell", "taste", "touch", "interoception" ], "scores": { "vision": 0.562268, "hearing": 0.268137, "smell": 0.687992, "taste": 0.835812, "touch": 0.608449, "interoception": 0.619573 } }, { "token_start": 82, "token_end": 121, "char_start": 449, "char_end": 660, "input_tokens": 46, "text": " of freshly brewed coffee filled the kitchen. The aroma of freshly brewed coffee filled the kitchen. The aroma of freshly brewed coffee filled the kitchen. The aroma of freshly brewed coffee filled the kitchen. ", "labels": [ "vision", "taste", "touch" ], "scores": { "vision": 0.946879, "hearing": 0.215263, "smell": 0.29423, "taste": 0.369621, "touch": 0.924977, "interoception": 0.251483 } } ], "exploratory_summary": { "vision": { "max_score": 0.946879, "mean_score": 0.591952 }, "hearing": { "max_score": 0.764945, "mean_score": 0.416115 }, "smell": { "max_score": 0.723001, "mean_score": 0.568408 }, "taste": { "max_score": 0.835812, "mean_score": 0.634541 }, "touch": { "max_score": 0.924977, "mean_score": 0.596406 }, "interoception": { "max_score": 0.619573, "mean_score": 0.441282 } }, "interpretation": "Per-window labels use short-input thresholds. Max/mean summaries are uncalibrated. Sensory scores are target associations, not verified sensation presence." }, "short_input": { "task": "open-sensations", "model": "mts-the-architect/open-sensations-gemma4-e2b-bf16-lora", "mode": "sliding", "target": "aroma", "window_size": 128, "threshold": 0.30000000000000004, "context_tokens": 10, "context_capacity": 121, "overlap_tokens": 32, "skipped_windows_without_complete_target": 0, "windows": [ { "token_start": 0, "token_end": 10, "char_start": 0, "char_end": 54, "input_tokens": 17, "text": "The aroma of freshly brewed coffee filled the kitchen.", "labels": [ "vision", "smell", "taste" ], "scores": { "vision": 0.456775, "hearing": 0.218945, "smell": 0.74298, "taste": 0.549384, "touch": 0.191831, "interoception": 0.266207 } } ], "exploratory_summary": { "vision": { "max_score": 0.456775, "mean_score": 0.456775 }, "hearing": { "max_score": 0.218945, "mean_score": 0.218945 }, "smell": { "max_score": 0.74298, "mean_score": 0.74298 }, "taste": { "max_score": 0.549384, "mean_score": 0.549384 }, "touch": { "max_score": 0.191831, "mean_score": 0.191831 }, "interoception": { "max_score": 0.266207, "mean_score": 0.266207 } }, "interpretation": "Per-window labels use short-input thresholds. Max/mean summaries are uncalibrated. Sensory scores are target associations, not verified sensation presence." } } } }