{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002433058,0.0001461036,0.0002111888,0.001329382,0.000135217,0.0001299676,0.00007726522,0.0001171111,0.00009493612],"category_scores_gemma":[0.00002915107,0.000164212,0.0001523542,0.00313792,0.00003990652,0.001519709,0.00002159745,0.0001584053,0.00007588125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002790193,"about_ca_system_score_gemma":0.00001042328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001107239,"about_ca_topic_score_gemma":0.0001779195,"domain_scores_codex":[0.9988711,0.00003218834,0.0005179374,0.00008684624,0.0001884522,0.0003034018],"domain_scores_gemma":[0.9996197,0.00002729123,0.00008400495,0.0001068211,0.00009877486,0.00006345631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005077567,0.000005735883,0.01583795,0.00003749827,0.0001014502,0.000003630735,0.0003865421,0.9490741,0.0002134373,0.00001575091,0.00001704909,0.03430181],"study_design_scores_gemma":[0.0001730393,0.000007094479,0.1465731,0.00001280045,0.0001541904,0.000009711239,0.0003528643,0.8523245,0.0001690402,0.00003099343,0.0000419674,0.0001507009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9027234,0.00002849361,0.09586404,0.000002341865,0.0002372953,0.0001221316,0.00001862932,0.0004330483,0.0005705747],"genre_scores_gemma":[0.9992504,0.00002191919,0.0001528525,0.0000229353,0.00005638751,0.00005628419,0.0004168317,0.00001144538,0.00001101545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1307352,"threshold_uncertainty_score":0.6696371,"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."}}