{"id":"W2977024976","doi":"10.12927/hcq.2019.25902","title":"myHip&Knee: Improving Patient Engagement and Self-Management through Mobile Technology","year":2019,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Health care; Medicine; Knee replacement; Nursing; Business; Orthopedic surgery; Surgery; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002734807,0.0002666286,0.0001973116,0.0004871652,0.0005858079,0.002256885,0.0003966563,0.0006103802,0.006729157],"category_scores_gemma":[0.008930136,0.0001046228,0.0004118023,0.0003476443,0.0004940764,0.00132619,0.002452259,0.0006052664,0.001190824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003757762,"about_ca_system_score_gemma":0.001682262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005647915,"about_ca_topic_score_gemma":0.001505426,"domain_scores_codex":[0.9977222,0.001381986,0.000110026,0.000108594,0.0003566661,0.0003205411],"domain_scores_gemma":[0.995761,0.002188225,0.0003957123,0.0002083607,0.0003414319,0.001105279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007209423,0.002831578,0.04087302,0.001233989,0.0001014201,0.0004029555,0.007396917,0.0004047382,0.003731614,0.002239977,0.02799108,0.9120717],"study_design_scores_gemma":[0.002848481,0.04122504,0.3693835,0.00530859,0.001015861,0.008406995,0.05489454,0.01455385,0.02459809,0.02200538,0.4550168,0.0007429339],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8849928,0.003553161,0.02865437,0.02226995,0.0006622435,0.001369197,0.0009451367,0.001272842,0.05628024],"genre_scores_gemma":[0.9603803,0.0014232,0.02934034,0.002502574,0.0002167092,0.000832958,0.0002109336,0.00006242748,0.005030491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006729157,"threshold_uncertainty_score":0.02251124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287864927053864,"score_gpt":0.2519935098177002,"score_spread":0.2391148605471616,"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."}}