{"id":"W4388440783","doi":"10.18280/isi.280504","title":"Abnormal Behavior Detection in Gait Analysis Using Convolutional Neural Networks","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Gait; Gait analysis; Computer science; Artificial intelligence; Physical medicine and rehabilitation; Pattern recognition (psychology); Neuroscience; Psychology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005633676,0.0006662637,0.0004929216,0.001501621,0.0001951095,0.000552017,0.0004230987,0.0004246951,0.0007994339],"category_scores_gemma":[0.001206937,0.0002773143,0.0003951915,0.0009120413,0.000252883,0.0004478878,0.0004932151,0.000392299,0.0003116309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005909515,"about_ca_system_score_gemma":0.0005498085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009725637,"about_ca_topic_score_gemma":0.01408164,"domain_scores_codex":[0.9997315,0.00003974897,0.00002107025,0.00007238884,0.00008476513,0.00005053088],"domain_scores_gemma":[0.9997044,0.0000809823,0.00006193544,0.00002971936,0.00009989998,0.00002307014],"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":[0.0004742654,0.0003584578,0.02889356,0.0002045821,0.0002184374,0.0004794112,0.00009821622,0.1833525,0.04174825,0.00218747,0.003533154,0.7384517],"study_design_scores_gemma":[0.000003330628,0.00004593658,0.007855125,0.00002067294,0.00002143946,0.0000928867,0.00001710968,0.9860761,0.004448536,0.0009229745,0.0004877467,0.000008068431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3652321,0.001599655,0.626265,0.0003001697,0.0001173509,0.0001419394,0.0008965229,0.002292344,0.003154958],"genre_scores_gemma":[0.9320628,0.0005306118,0.06431358,0.0000590887,0.0000288097,0.00005327269,0.0007864954,0.00003139838,0.002134027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009725637,"threshold_uncertainty_score":0.01933807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576371640034789,"score_gpt":0.2270872802634445,"score_spread":0.2113235638630966,"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."}}