{"id":"W2002011710","doi":"10.1109/iembs.2011.6091546","title":"Gait analysis with multiple depth cameras","year":2011,"lang":"en","type":"article","venue":"","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Association Nationale de la Recherche et de la Technologie","keywords":"Gait; Computer science; Gait analysis; Computer vision; Treadmill; Heel; Artificial intelligence; Physical medicine and rehabilitation; Medicine; Anatomy; Physical therapy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002484693,0.0005782124,0.0004560641,0.002433003,0.0001471542,0.0004936626,0.0003727151,0.000444737,0.002673454],"category_scores_gemma":[0.0008664065,0.0003957662,0.0003823539,0.001155941,0.0001415353,0.0004713446,0.0005397453,0.0002243796,0.0004894737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002441441,"about_ca_system_score_gemma":0.0002060467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002404159,"about_ca_topic_score_gemma":0.003242967,"domain_scores_codex":[0.9996513,0.00005591012,0.00002055372,0.00007840397,0.0001507038,0.00004314685],"domain_scores_gemma":[0.9997163,0.0000540269,0.00004546707,0.00003374752,0.0001210604,0.00002923628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009062433,0.0001355247,0.01502308,0.0006227117,0.0002105005,0.0004429779,0.000250732,0.01579716,0.2685403,0.001131696,0.003232042,0.6937071],"study_design_scores_gemma":[0.0001627084,0.001093518,0.1745178,0.0002231707,0.0003055243,0.00593789,0.0005541868,0.6406736,0.157723,0.003918312,0.01463833,0.0002520378],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2255792,0.001363735,0.7665604,0.0001326788,0.00009699207,0.0002153255,0.001572499,0.001345527,0.003133667],"genre_scores_gemma":[0.6706936,0.0008802821,0.324923,0.00006915646,0.00005831611,0.0001759164,0.0007242549,0.00008858448,0.002387019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002673454,"threshold_uncertainty_score":0.008943558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696691183958005,"score_gpt":0.2626236134225906,"score_spread":0.2356567015830106,"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."}}