{"id":"W2314221683","doi":"10.1007/978-3-031-01600-4","title":"Body Tracking in Healthcare","year":2016,"lang":"en","type":"book","venue":"Synthesis lectures on assistive, rehabilitative, and health-preserving technologies","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Health care; Context (archaeology); Tracking (education); Movement (music); Physical medicine and rehabilitation; Human body; Work (physics); Gait; Psychology; Computer science; Medicine; Geography; Artificial intelligence; Political science; Engineering; Art; Aesthetics","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":[0.0007028932,0.001230739,0.000903597,0.001960788,0.0005218548,0.002716296,0.000720588,0.002003961,0.05170185],"category_scores_gemma":[0.001524094,0.000376392,0.0004026002,0.001816298,0.0009357856,0.003251749,0.001832223,0.002048071,0.03001172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009573911,"about_ca_system_score_gemma":0.0009581458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002241069,"about_ca_topic_score_gemma":0.004465117,"domain_scores_codex":[0.9995404,0.00007954345,0.00002672102,0.00008870303,0.0002287253,0.00003585051],"domain_scores_gemma":[0.9995857,0.0001838836,0.00002428599,0.00003571028,0.0001224637,0.00004792881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002516714,0.000031872,0.000118648,0.0004220039,0.00001048974,0.00004236071,0.000205074,0.0004200914,0.0005124134,0.01699617,0.4123596,0.5688561],"study_design_scores_gemma":[0.000004144962,0.00002680596,0.0005249496,0.0007439851,0.000006903004,0.0002023915,0.00009182176,0.0003022849,0.0001451367,0.009859125,0.9880809,0.00001151768],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.0006887197,0.5547195,0.02703315,0.01502866,0.04481841,0.00007275562,0.000482032,0.0008079745,0.3563488],"genre_scores_gemma":[0.006321272,0.2019399,0.008071722,0.006536342,0.01325852,0.00009296458,0.0005457856,0.0002219462,0.7630115],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05170185,"threshold_uncertainty_score":0.1729599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04161136331068147,"score_gpt":0.3793221816198782,"score_spread":0.3377108183091967,"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."}}