{"id":"W2898611473","doi":"10.1053/j.sempedsurg.2018.10.005","title":"Learning health systems","year":2018,"lang":"en","type":"review","venue":"Seminars in Pediatric Surgery","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Health care; Medicine; Repurposing; Electronic health record; Analytics; Knowledge management; Quality management; Merge (version control); Quality (philosophy); Health information exchange; Health information technology; Medical education; Nursing; Process management; Data science; Business; Health information; Computer science; Marketing","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":[0.005730845,0.0006681242,0.0008577642,0.007366369,0.0007062175,0.003448694,0.001109055,0.001598812,0.02356165],"category_scores_gemma":[0.03099283,0.0003902962,0.001121777,0.006312118,0.001391437,0.005380664,0.003100994,0.002209434,0.00257349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004350806,"about_ca_system_score_gemma":0.01164267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005165942,"about_ca_topic_score_gemma":0.01348026,"domain_scores_codex":[0.9954656,0.001860236,0.0006135327,0.0004161343,0.001365963,0.0002785581],"domain_scores_gemma":[0.9837363,0.01084642,0.001959888,0.0006304777,0.002190846,0.0006359682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002673867,0.00006222231,0.001492997,0.03166899,0.000321605,0.00004107332,0.0003194634,0.0001248618,0.00008108619,0.007874771,0.06882191,0.8891643],"study_design_scores_gemma":[0.00004935054,0.0000763032,0.005391029,0.0796622,0.000530506,0.0002424954,0.0006693522,0.00006861366,0.0001905445,0.00483413,0.9082643,0.00002109325],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007690467,0.9732586,0.0005101022,0.01025417,0.00132715,0.00006886189,0.0002769273,0.00003358235,0.01350152],"genre_scores_gemma":[0.01617264,0.9695198,0.00120054,0.008332227,0.001131189,0.00009242437,0.0003746097,0.00001236529,0.00316422],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02356165,"threshold_uncertainty_score":0.0788216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1198545473418292,"score_gpt":0.4627426918805838,"score_spread":0.3428881445387546,"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."}}