{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007627088,0.00007291058,0.0001203316,0.0001081185,0.0001716309,0.00000995924,0.00001482429,0.00002123769,0.0001342141],"category_scores_gemma":[0.00002270198,0.00005871394,0.00003472195,0.0001634089,0.00004143584,0.00002908779,0.000008501837,0.0001821185,0.000005154766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006984251,"about_ca_system_score_gemma":0.00001438286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003687633,"about_ca_topic_score_gemma":0.00000517928,"domain_scores_codex":[0.9994252,0.00006376187,0.00009102514,0.0001655989,0.0001658392,0.00008851838],"domain_scores_gemma":[0.9997166,0.00005348921,0.00005561392,0.00009409211,0.00003235742,0.00004784923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002042611,0.0003289154,0.05486233,0.000102643,0.00006508189,0.00001251082,0.002557742,0.001334496,0.6304185,0.00002496874,0.00006019935,0.30819],"study_design_scores_gemma":[0.008209824,0.00783815,0.7843774,0.0001996392,0.0002231591,0.0005277086,0.01572228,0.07315984,0.03198501,0.00009895445,0.07702944,0.0006285823],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981171,0.0002944612,0.00009480575,0.0005313657,0.0001057712,0.0002400045,0.000002251958,0.00007380895,0.000540453],"genre_scores_gemma":[0.9974377,0.0001026369,0.0003925629,0.0001100389,0.00005297556,0.00001980479,0.00001261991,0.0000195168,0.001852185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7295151,"threshold_uncertainty_score":0.2394285,"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."}}