{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008588198,0.000185946,0.0002058872,0.0003469876,0.0002332115,0.0001896242,0.00005735021,0.0001443045,0.0005625427],"category_scores_gemma":[0.00001078367,0.0002113822,0.0001064746,0.0003903104,0.00002344632,0.0001474349,0.00004080055,0.0002518712,0.00003824208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007003503,"about_ca_system_score_gemma":0.00000775828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002018847,"about_ca_topic_score_gemma":0.00009786098,"domain_scores_codex":[0.9991326,0.00002195011,0.00028812,0.0002425201,0.00009453182,0.0002202437],"domain_scores_gemma":[0.9996585,0.00001518512,0.00002351332,0.0001470528,0.00006828955,0.00008744375],"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":[0.00001687091,0.0002430161,0.169816,0.0005536365,0.001123097,0.00002387819,0.000559774,0.0005863053,0.4123837,0.001351251,0.0004094174,0.412933],"study_design_scores_gemma":[0.002265278,0.0001248082,0.4945156,0.0006543228,0.00164876,0.00001107458,0.002580761,0.03314373,0.4588601,0.001854814,0.003167638,0.001173123],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543527,0.0008328656,0.01636001,0.0002482098,0.001055909,0.0001346684,0.000003890059,0.0002944625,0.02671726],"genre_scores_gemma":[0.99432,0.0002206281,0.0001278341,0.00005275433,0.00009772573,0.000009818887,0.000002422705,0.00001605387,0.005152807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4117599,"threshold_uncertainty_score":0.8619914,"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."}}