{"id":"W4313294819","doi":"10.3390/s23010363","title":"Physiotherapy Exercise Classification with Single-Camera Pose Detection and Machine Learning","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Hospital","funders":"","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Robustness (evolution); Machine learning; 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":[0.0002862599,0.0007125934,0.0004654688,0.0005005961,0.0001142113,0.0003354288,0.0004080752,0.000424772,0.001122297],"category_scores_gemma":[0.001009719,0.0001947988,0.0003846515,0.0003395578,0.0001452717,0.0003263409,0.000310413,0.0003681182,0.0005540282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000351893,"about_ca_system_score_gemma":0.0003420856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004882002,"about_ca_topic_score_gemma":0.008327631,"domain_scores_codex":[0.9997646,0.00003462756,0.00000981791,0.0001050496,0.00005351731,0.00003242672],"domain_scores_gemma":[0.9997595,0.00007315574,0.00004324256,0.0000302589,0.00007696934,0.00001686254],"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":[0.00050696,0.0006911771,0.03135651,0.0001623446,0.000211831,0.0002178479,0.00008924758,0.1171166,0.07766958,0.0003836977,0.002305149,0.7692891],"study_design_scores_gemma":[0.00001273074,0.0002469872,0.0326319,0.00002072154,0.00003189611,0.0001591466,0.00003407351,0.9495997,0.01608834,0.0003348282,0.0008204281,0.00001919923],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5584751,0.001055272,0.4323166,0.0002046619,0.0002085278,0.0001889552,0.0005580009,0.002577361,0.004415551],"genre_scores_gemma":[0.9428858,0.0002752945,0.05301569,0.00009307256,0.00005548148,0.00009012896,0.0004882354,0.00003425078,0.003062075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004882002,"threshold_uncertainty_score":0.009707212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746473890862392,"score_gpt":0.2532042975938857,"score_spread":0.2357395586852618,"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."}}