{"id":"W3012937126","doi":"10.2196/15957","title":"A Mobile App (mHeart) to Detect Medication Nonadherence in the Heart Transplant Population: Validation Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Astellas Pharma","keywords":"Medicine; Medication adherence; Pharmacist; Population; Psychological intervention; Patient satisfaction; Usability; Concordance; Patient-reported outcome; Physical therapy; Quality of life (healthcare); Emergency medicine; Pharmacy; Family medicine; Internal medicine; Surgery; Psychiatry; Nursing","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":[0.006444117,0.0008056647,0.0006320215,0.0007522503,0.0005423356,0.0006162687,0.0005136171,0.000916843,0.001410087],"category_scores_gemma":[0.008866334,0.0002933888,0.0009682876,0.0003052471,0.0004657337,0.0006692972,0.0009722048,0.0007300993,0.0006569796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002714883,"about_ca_system_score_gemma":0.0007329216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094371,"about_ca_topic_score_gemma":0.001340455,"domain_scores_codex":[0.9977114,0.001058774,0.0002791636,0.0002609442,0.0004996569,0.000190061],"domain_scores_gemma":[0.9954656,0.001801263,0.0006617744,0.0003914487,0.001261523,0.0004183582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007163532,0.03078408,0.8055133,0.00135534,0.0008186302,0.001016046,0.00519649,0.0009046506,0.01060783,0.0002447935,0.002969004,0.1334263],"study_design_scores_gemma":[0.001749352,0.0415277,0.9424157,0.000205781,0.0004851715,0.001394173,0.001431425,0.004478692,0.002583263,0.0001102519,0.003547237,0.00007129143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996235,0.00009490132,0.0008665484,0.00005201259,0.00002155639,0.001786464,0.0004654047,0.00003405511,0.0004442033],"genre_scores_gemma":[0.9870549,0.0002544326,0.006773788,0.0003134482,0.00005126513,0.003061472,0.001556272,0.00002197212,0.0009123582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006444117,"threshold_uncertainty_score":0.03408015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07349659050942313,"score_gpt":0.40504439601885,"score_spread":0.3315478055094268,"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."}}