{"id":"W3204106056","doi":"10.1109/icas49788.2021.9551170","title":"A Graph Convolutional Neural Network for Reliable Gait-Based Human Recognition","year":2021,"lang":"en","type":"article","venue":"","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Convolutional neural network; Biometrics; Artificial intelligence; Gesture recognition; Gait; Graph; Computer vision; Modalities; Feature extraction; Wearable computer; Feature (linguistics); Gesture; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002959119,0.0006268069,0.0003838952,0.000494483,0.0001983203,0.0003217336,0.0007863793,0.0005828289,0.001427134],"category_scores_gemma":[0.0007554355,0.0002554081,0.0003341492,0.0005308929,0.0002979017,0.0004989602,0.0004493989,0.0006086836,0.0005529613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006302131,"about_ca_system_score_gemma":0.0006433345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01495131,"about_ca_topic_score_gemma":0.02131506,"domain_scores_codex":[0.9998484,0.00001969178,0.000007316019,0.00005075341,0.00004410542,0.00002984632],"domain_scores_gemma":[0.9998559,0.00003278418,0.0000199619,0.00002622549,0.00005174159,0.00001340567],"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":[0.000272121,0.0001783623,0.002273871,0.0001274954,0.0001186567,0.000243487,0.00004263726,0.3049212,0.04630695,0.006460622,0.01223411,0.6268204],"study_design_scores_gemma":[0.000003516561,0.00002774132,0.0006513096,0.000006026421,0.0000101579,0.00003187393,0.000002772863,0.9940539,0.003216354,0.001168656,0.0008208576,0.000006889244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05902873,0.00105805,0.9322083,0.0003469024,0.0002828628,0.00006767821,0.0005982172,0.003382015,0.003027238],"genre_scores_gemma":[0.7766736,0.0006792998,0.2125622,0.0002555969,0.00007657371,0.0000830523,0.00146339,0.0001362508,0.008070021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01495131,"threshold_uncertainty_score":0.02972859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470066774390021,"score_gpt":0.2284538556163612,"score_spread":0.203753187872461,"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."}}