{"id":"W3109162145","doi":"10.2196/19065","title":"Interdisciplinary Mobile Health Model to Improve Clinical Care After Heart Transplantation: Implementation Strategy Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Interoperability; Polypharmacy; Medicine; Multidisciplinary approach; Heart transplantation; Transplantation; Stakeholder; Health care; Focus group; Process management; Medical emergency; Nursing; Computer science; Psychological intervention; Intensive care medicine; Business; World Wide Web; Internal medicine","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":[0.01782292,0.0007137372,0.000391526,0.001962425,0.001802002,0.003086537,0.001581111,0.002249004,0.005918599],"category_scores_gemma":[0.0145891,0.0004530462,0.001060607,0.001738589,0.0008385813,0.002889435,0.006599462,0.00141421,0.0006519541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00695779,"about_ca_system_score_gemma":0.02509696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003891078,"about_ca_topic_score_gemma":0.006968183,"domain_scores_codex":[0.9856336,0.01029608,0.0007069682,0.0005673389,0.000875989,0.001920107],"domain_scores_gemma":[0.9914001,0.003302712,0.0008159798,0.0005059303,0.00128602,0.002689329],"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":[0.001171563,0.05362762,0.1379361,0.004282226,0.0005635449,0.001113685,0.04265716,0.004054178,0.003360849,0.02618928,0.007504415,0.7175393],"study_design_scores_gemma":[0.01516659,0.09648426,0.4508869,0.008138813,0.001885222,0.001769392,0.245175,0.03444722,0.01009117,0.01044564,0.1251157,0.0003940486],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416869,0.0007091747,0.01194186,0.008833632,0.0001347702,0.01968268,0.0004717234,0.0001328751,0.01640637],"genre_scores_gemma":[0.9406783,0.000873728,0.03461258,0.00276134,0.00005942913,0.01855981,0.0003237711,0.00002139679,0.002109643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01782292,"threshold_uncertainty_score":0.09425777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07531524894811188,"score_gpt":0.495715719386113,"score_spread":0.4204004704380012,"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."}}