{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05295976,0.003066157,0.003658304,0.002503092,0.004889575,0.002901878,0.002491235,0.004433443,0.04391707],"category_scores_gemma":[0.03559805,0.003030194,0.002834193,0.00225786,0.003100835,0.003001715,0.002429478,0.006431883,0.01650595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004012156,"about_ca_system_score_gemma":0.02053754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003860087,"about_ca_topic_score_gemma":0.008185095,"domain_scores_codex":[0.9790062,0.01309451,0.003249985,0.001525618,0.001714846,0.001408842],"domain_scores_gemma":[0.9738979,0.007166048,0.003029568,0.004127571,0.009716499,0.002062437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.1762547,0.07856931,0.01561159,0.06485457,0.0013716,0.005292682,0.02032287,0.01001558,0.01736135,0.02995149,0.3055058,0.2748885],"study_design_scores_gemma":[0.1670216,0.05500348,0.04926451,0.03501339,0.0008902913,0.001259865,0.008605471,0.006915786,0.008365483,0.0228937,0.6437166,0.001049769],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001967775,0.0001242322,0.003600812,0.0001796959,0.0001053685,0.9913687,0.001632515,0.00007888344,0.0009420965],"genre_scores_gemma":[0.000736166,0.00006320737,0.002321508,0.00007147738,0.00001246678,0.9964404,0.0001797419,0.000005605144,0.0001694074],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.05295976,"threshold_uncertainty_score":0.2800813,"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."}}