{"id":"W2606376306","doi":"10.1016/j.joca.2017.02.052","title":"Wearable sensors to predict response to a hip strengthening exercise intervention in patients with knee osteoarthritis","year":2017,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Physical medicine and rehabilitation; Osteoarthritis; Gait; Physical therapy; Medicine; Wearable computer; Kinematics; Rehabilitation; Accelerometer; Gait analysis; Knee pain; Intervention (counseling); Computer science","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":[0.0003042165,0.0005074648,0.0006573068,0.0004547826,0.0001439561,0.000545684,0.0001950771,0.0007652766,0.001218397],"category_scores_gemma":[0.001766898,0.0001830424,0.0003416754,0.0003686499,0.0001269383,0.0002738537,0.0002541186,0.000446751,0.0003837393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001314907,"about_ca_system_score_gemma":0.00009639197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009935177,"about_ca_topic_score_gemma":0.002187238,"domain_scores_codex":[0.9997682,0.00006365017,0.0000345122,0.00004826049,0.00004865013,0.00003668458],"domain_scores_gemma":[0.9994091,0.0002361234,0.0001658625,0.00002744582,0.00009062188,0.00007083613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00516111,0.001109994,0.9085605,0.0002820334,0.0004294398,0.0002675656,0.000259428,0.001566205,0.01320987,0.00006535681,0.001217016,0.06787148],"study_design_scores_gemma":[0.0001843104,0.004014773,0.9780145,0.00006397382,0.0003501729,0.0005802869,0.0004349635,0.01142756,0.004031613,0.0001526315,0.0007085553,0.00003670216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958035,0.0009436006,0.00103443,0.0001436944,0.00008279058,0.00004120039,0.0006528169,0.00003836935,0.00125965],"genre_scores_gemma":[0.9981323,0.0002584441,0.0006951866,0.00007959245,0.00004001068,0.00003938827,0.0002852545,0.0000028088,0.0004670688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001218397,"threshold_uncertainty_score":0.004076004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007168820882281953,"score_gpt":0.2294557207648597,"score_spread":0.2222868998825777,"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."}}