{"id":"W4404628872","doi":"10.1109/ciot63799.2024.10756987","title":"S4HI: A Novel Learning-Based Human Identification Method From Behavioural Data","year":2024,"lang":"en","type":"article","venue":"","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Identification (biology); Artificial intelligence; Machine learning; Biology","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":[0.0004598814,0.001099304,0.0009167516,0.00138765,0.0002637249,0.0005042631,0.001248893,0.0007999982,0.004139398],"category_scores_gemma":[0.0009625129,0.0002730955,0.0007107097,0.001187451,0.0003420974,0.0007540351,0.001229337,0.0009205136,0.003825063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002971097,"about_ca_system_score_gemma":0.0008028995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00384162,"about_ca_topic_score_gemma":0.00696949,"domain_scores_codex":[0.9996091,0.00005836308,0.00001766506,0.0001570058,0.0001030836,0.00005486239],"domain_scores_gemma":[0.999739,0.0000459631,0.00002723244,0.0000712054,0.00008512245,0.00003139973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002461213,0.0001999161,0.003583185,0.0001991291,0.000165428,0.0001670741,0.0001236921,0.01423212,0.02357137,0.003247533,0.01938438,0.93488],"study_design_scores_gemma":[0.00003871275,0.0002235209,0.006686588,0.00003666459,0.00008173057,0.0005210654,0.00009410981,0.9478473,0.02299124,0.005427985,0.01598229,0.00006870547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02228801,0.0006070397,0.9632797,0.0001912758,0.0002957048,0.0001748571,0.001347431,0.008060016,0.003756092],"genre_scores_gemma":[0.3266324,0.0007756563,0.6318566,0.0005823544,0.0002913257,0.0003937892,0.006629404,0.0005187381,0.03231973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004139398,"threshold_uncertainty_score":0.01384765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08978761292042604,"score_gpt":0.3342121466050081,"score_spread":0.2444245336845821,"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."}}