{"id":"W4403176092","doi":"10.2196/50693","title":"A Medication Management App (Smart-Meds) for Patients After an Acute Coronary Syndrome: Pilot Pre-Post Mixed Methods Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Acute coronary syndrome; Medicine; Gerontology; Psychology; Internal medicine; Computer science; World Wide Web","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":[0.0006533484,0.000202422,0.0003613731,0.0001528134,0.00006669933,0.00004007884,0.0001875558,0.00006376229,0.0002475169],"category_scores_gemma":[0.00002943199,0.0001679056,0.0001361587,0.0002564201,0.00005232617,0.0001658717,0.00008158977,0.0001631881,0.000352985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074086,"about_ca_system_score_gemma":0.00007989578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006949957,"about_ca_topic_score_gemma":0.000001587853,"domain_scores_codex":[0.9980623,0.0001759236,0.0003701669,0.0005723987,0.0005569528,0.0002622339],"domain_scores_gemma":[0.9987887,0.0000743337,0.00006504734,0.0006886126,0.0001470861,0.0002362445],"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":[0.00292391,0.005699895,0.0909899,0.002509271,0.005001782,0.0009931109,0.004721808,0.000001967983,0.0005000126,0.0002942278,0.07817338,0.8081908],"study_design_scores_gemma":[0.002200035,0.004766622,0.9531288,0.0002975374,0.00087567,0.00005938956,0.0007570714,0.0004773907,0.00002544492,0.00009805894,0.03710183,0.0002121294],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718406,0.0004451277,0.01743115,0.0005655363,0.001358943,0.006689577,0.00006019904,0.0003036902,0.001305202],"genre_scores_gemma":[0.9743079,0.00004619536,0.008225371,0.0005622824,0.0001192685,0.008797836,0.0003176663,0.00004205827,0.007581442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8621389,"threshold_uncertainty_score":0.6846993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02782668631423768,"score_gpt":0.3819523076447684,"score_spread":0.3541256213305307,"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."}}