{"id":"W7117651728","doi":"10.5220/0013897200004919","title":"AI Powered Human Behaviour Detection and Monitoring","year":2025,"lang":"","type":"article","venue":"","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Noise (video); Automation; Feature (linguistics); Key (lock); Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002447813,0.0004870721,0.0004469923,0.001170562,0.0002181281,0.0006886425,0.0005702037,0.0005759685,0.006003977],"category_scores_gemma":[0.00117514,0.0001583115,0.000212456,0.0007082249,0.0002187783,0.0004645025,0.0005677657,0.0002921589,0.003144055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002044057,"about_ca_system_score_gemma":0.0002428896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001342368,"about_ca_topic_score_gemma":0.001928789,"domain_scores_codex":[0.99962,0.00005510578,0.00001729493,0.00007591764,0.0001940872,0.00003755258],"domain_scores_gemma":[0.9995188,0.00009501829,0.00006533907,0.00006829632,0.0002093795,0.00004331043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005164826,0.0002337966,0.01077707,0.0004114812,0.00007196866,0.0003544236,0.0002056859,0.004713099,0.1692152,0.002793621,0.01735353,0.7933537],"study_design_scores_gemma":[0.0001146484,0.001234554,0.1472934,0.000332096,0.0002074825,0.003751123,0.0006870978,0.554859,0.1771979,0.01830278,0.09587125,0.0001487107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1792995,0.001858581,0.749985,0.0007535859,0.0009914322,0.0004463512,0.002593269,0.00943177,0.05464043],"genre_scores_gemma":[0.8835507,0.0008218284,0.07339253,0.0004729596,0.0002197351,0.0002867321,0.001466442,0.0001860803,0.03960306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006003977,"threshold_uncertainty_score":0.02008528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009036442561576973,"score_gpt":0.26114577104894,"score_spread":0.2521093284873631,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}