{"id":"W4321360147","doi":"10.2196/43781","title":"Implementation and User Evaluation of an eHealth Technology Platform Supporting Patients With Cardiovascular Disease in Managing Their Health After a Cardiac Event: Mixed Methods Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Delta; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; ZonMw","keywords":"eHealth; Usability; Coaching; Rehabilitation; Incentive; Medicine; Set (abstract data type); Disease management; Health management system; Computer science; Knowledge management; Medical education; Health care; Psychology; Physical therapy; Human–computer interaction; Alternative 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":[0.008833298,0.000234149,0.0009761633,0.0007284176,0.0001197577,0.00001065182,0.00005399274,0.00007276509,0.000005509395],"category_scores_gemma":[0.00004348008,0.0001979708,0.0002119423,0.001023515,0.00004284312,0.0001857754,0.00008666121,0.0002334938,0.00000173208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006762958,"about_ca_system_score_gemma":0.0008697652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001154816,"about_ca_topic_score_gemma":0.0002425917,"domain_scores_codex":[0.9960205,0.00096222,0.0007605499,0.0005768671,0.001005195,0.0006746681],"domain_scores_gemma":[0.9983182,0.00005124597,0.0002333237,0.0006713436,0.0002248506,0.0005010252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003812843,0.0001437461,0.6085858,0.0005995151,0.0001821573,0.00001125254,0.00221334,0.00007080929,0.000001620482,0.000003770746,0.00002125249,0.3877855],"study_design_scores_gemma":[0.005718831,0.001086136,0.9722156,0.0001675292,0.0003739824,0.000003885894,0.01923917,0.0003927771,0.0000245999,0.00005255104,0.0005732899,0.0001516547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900321,0.001150124,0.0001033543,0.0002600933,0.0002189186,0.008003809,0.0001107851,0.00008920465,0.0000316613],"genre_scores_gemma":[0.9969988,0.0001400581,0.0005217913,0.0001117411,0.00006905666,0.00174111,0.0003671912,0.00004635,0.000003854685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3876338,"threshold_uncertainty_score":0.8073016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03084034866210987,"score_gpt":0.4375696876948049,"score_spread":0.406729339032695,"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."}}