{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003486426,0.0002113806,0.0006250631,0.00006682371,0.00009579729,0.00003257496,0.00007949362,0.00007162354,0.00005814691],"category_scores_gemma":[0.000003553181,0.0001850827,0.0003134863,0.0001846592,0.00002278818,0.000119977,0.00003881369,0.0002586417,0.00004054748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007955408,"about_ca_system_score_gemma":0.0002599741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002680827,"about_ca_topic_score_gemma":0.00009968715,"domain_scores_codex":[0.9978994,0.0002431315,0.0006923928,0.0005311702,0.0003503352,0.0002835572],"domain_scores_gemma":[0.9990802,0.00005422394,0.00006833423,0.0002649242,0.00007959823,0.0004527533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006816262,0.0006284222,0.581511,0.001996459,0.0006129024,0.0005065555,0.2016734,0.002536777,0.001061901,0.00002868922,0.003628951,0.1989987],"study_design_scores_gemma":[0.008494272,0.01567988,0.900386,0.000104784,0.0005058856,0.00005939837,0.07192044,0.0006426928,0.0004438969,0.0000225755,0.001284323,0.0004558853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759217,0.0002625935,0.01513654,0.002546046,0.0002716643,0.005102466,0.0003175226,0.0001325432,0.0003089601],"genre_scores_gemma":[0.9872681,0.00003368995,0.006901899,0.003678836,0.0004781576,0.001384751,0.0001754941,0.00003609432,0.00004298963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.318875,"threshold_uncertainty_score":0.7547452,"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."}}