{"id":"W2912670811","doi":"10.2196/10238","title":"Collecting Symptoms and Sensor Data With Consumer Smartwatches (the Knee OsteoArthritis, Linking Activity and Pain Study): Protocol for a Longitudinal, Observational Feasibility Study","year":2018,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Versus Arthritis; Medical Research Council; National Institute for Health and Care Research","keywords":"Observational study; Osteoarthritis; Smartwatch; Protocol (science); Physical therapy; Medicine; Knee pain; Physical activity; Physical medicine and rehabilitation; Wearable computer; Computer science; Alternative medicine; Internal medicine; Embedded system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.02303561,0.0002925356,0.0004788532,0.0001527117,0.007305154,0.0001625115,0.0005226599,0.000180098,0.00006812056],"category_scores_gemma":[0.002215042,0.0001993136,0.00002230469,0.0008224312,0.0007256184,0.0003565326,0.0009635851,0.001432066,0.00001461372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002109117,"about_ca_system_score_gemma":0.002294305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005267612,"about_ca_topic_score_gemma":0.008398958,"domain_scores_codex":[0.9899556,0.005695966,0.000831508,0.001332355,0.00091769,0.001266893],"domain_scores_gemma":[0.9884501,0.007374772,0.0003985951,0.001732971,0.001570047,0.0004735846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004663215,0.001990368,0.9501629,0.002437448,0.00003625371,0.000002562578,0.00213401,1.031262e-7,0.00003743218,0.00007238799,0.003647716,0.03481562],"study_design_scores_gemma":[0.01824045,0.02030195,0.73057,0.002111735,0.00001320869,0.00000563384,0.00638827,0.0005573398,0.000008951185,0.0003207739,0.2211845,0.0002971981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.1062249,0.000002343256,0.0002016731,0.001233687,0.000007368784,0.8920654,0.00008531082,0.00009096644,0.00008837033],"genre_scores_gemma":[0.03594727,2.603699e-7,0.0007965497,0.0001814273,0.000431077,0.9622349,0.00001888702,0.00005122423,0.000338421],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.2195929,"threshold_uncertainty_score":0.9939872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6495794805595176,"score_gpt":0.6511038814466809,"score_spread":0.001524400887163213,"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."}}