{"id":"W3023300167","doi":"10.2196/16605","title":"A Cyber-Physical System for Near Real-Time Monitoring of At-Home Orthopedic Rehabilitation and Mobile–Based Provider-Patient Communications to Improve Adherence: Development and Formative Evaluation","year":2020,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Mathematical Sciences; National Cancer Institute; University of Vermont","keywords":"Medicine; mHealth; Formative assessment; Software portability; Psychological intervention; Rehabilitation; Telemedicine; Health care; Physical therapy; Medical emergency; Computer science; Nursing; Psychology; Operating 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":[0.005752177,0.0005940344,0.0004641845,0.0007058524,0.0002459412,0.0008257039,0.000869473,0.0006112017,0.00380409],"category_scores_gemma":[0.008662225,0.0002702938,0.0005309861,0.0002786153,0.0004395229,0.0008625769,0.0009114823,0.0005488767,0.0006993209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004782063,"about_ca_system_score_gemma":0.001344741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072454,"about_ca_topic_score_gemma":0.001444948,"domain_scores_codex":[0.9974727,0.001079404,0.0002688152,0.0002774171,0.0007888351,0.0001127642],"domain_scores_gemma":[0.9938939,0.002719782,0.0005932369,0.0005693928,0.001753887,0.0004697101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005339194,0.01090885,0.1121594,0.001716131,0.0005648589,0.0006090266,0.002036139,0.003717485,0.07427665,0.001102969,0.009197918,0.7783715],"study_design_scores_gemma":[0.004388507,0.08404843,0.6460305,0.001235021,0.001590997,0.003532277,0.001966399,0.08481048,0.1262826,0.0009487505,0.04474562,0.000420539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.898652,0.0004632505,0.07816675,0.0005023697,0.0002204646,0.01268476,0.001356358,0.003838543,0.00411548],"genre_scores_gemma":[0.7817965,0.0005753622,0.2015067,0.0005625713,0.00009499622,0.008447637,0.002140445,0.0001969487,0.004678771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005752177,"threshold_uncertainty_score":0.03042078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02983259457549011,"score_gpt":0.3381381762596348,"score_spread":0.3083055816841447,"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."}}