{"id":"W4386920293","doi":"10.1109/sas58821.2023.10254099","title":"Gait Recognition Using EigenfeetNet","year":2023,"lang":"en","type":"article","venue":"","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Gait; Computer vision; Artificial intelligence; Gait analysis; Speech recognition; Physical medicine and rehabilitation; Medicine","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":[0.0003723513,0.0009167263,0.0006371433,0.001717919,0.0002861065,0.000545737,0.000731942,0.000803724,0.004595388],"category_scores_gemma":[0.0008488654,0.0003341588,0.0005350995,0.0006965642,0.0002497504,0.000809022,0.0005419928,0.0003794775,0.001861263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005102102,"about_ca_system_score_gemma":0.0005451093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006858174,"about_ca_topic_score_gemma":0.00988326,"domain_scores_codex":[0.9997424,0.00002050109,0.00001915623,0.00009051492,0.00007856022,0.00004884068],"domain_scores_gemma":[0.9998134,0.00002583771,0.00002645661,0.00003575676,0.00008138926,0.00001714879],"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":[0.0006563434,0.0003474673,0.005684576,0.0001302907,0.0001660742,0.000447734,0.00007251419,0.05783311,0.04922991,0.003314644,0.01608557,0.8660319],"study_design_scores_gemma":[0.00001836257,0.0001439662,0.004800913,0.00001818485,0.00001857417,0.0002689112,0.00002430646,0.9689016,0.02006634,0.0020322,0.003682174,0.00002438985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2294226,0.0007422118,0.7328747,0.0002445882,0.0004494423,0.0003095695,0.003044907,0.02656794,0.006344104],"genre_scores_gemma":[0.7084372,0.0002948712,0.2720892,0.0002001802,0.00006197854,0.0002478962,0.008035836,0.0003152463,0.01031758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006858174,"threshold_uncertainty_score":0.01537317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05747909192674661,"score_gpt":0.2473818038784512,"score_spread":0.1899027119517046,"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."}}