{"id":"W2926771130","doi":"10.1161/hcq.12.suppl_1.15","title":"Abstract 15: Telephone Intervention to Improve Quality and Safety After Percutaneous Coronary Intervention","year":2019,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Berger (Canada)","funders":"","keywords":"Medicine; Conventional PCI; Percutaneous coronary intervention; Psychological intervention; Context (archaeology); Pharmacy; Emergency medicine; Patient safety; Medical emergency; Intervention (counseling); Internal medicine; Intensive care medicine; Health care; Myocardial infarction; Family medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001893842,0.0002115423,0.0006994021,0.00009915084,0.00007844181,0.0000486131,0.00006719694,0.0001488618,0.0007796448],"category_scores_gemma":[0.0002663559,0.0001941718,0.0006710968,0.0001309491,0.00006770504,0.0002039011,0.00007072656,0.0001998917,0.0003537688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009847712,"about_ca_system_score_gemma":0.00002776412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002801827,"about_ca_topic_score_gemma":0.00001363365,"domain_scores_codex":[0.9976377,0.0002530295,0.0007833294,0.0005602414,0.0005575715,0.0002081259],"domain_scores_gemma":[0.9986835,0.0001179236,0.0001650552,0.0006471084,0.0001670578,0.0002193815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005995219,0.0001726906,0.7886633,0.001445399,0.0009884674,0.00002733814,0.0004634958,0.00004317739,0.002400917,0.0003343073,0.00003653853,0.2048248],"study_design_scores_gemma":[0.002199668,0.0000781848,0.9942906,0.0002304052,0.0001656595,0.0001173279,0.0005509882,0.0000669158,0.00007551066,0.000222387,0.001766548,0.0002357816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886281,0.002291245,0.006227773,0.0009384063,0.0003430021,0.0009765642,0.00002377043,0.00007096579,0.0005000989],"genre_scores_gemma":[0.9975801,0.0001124266,0.0002843406,0.001085596,0.00006890456,0.00004852866,0.00008094024,0.00001745729,0.0007217606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2056273,"threshold_uncertainty_score":0.8536564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04027236034651311,"score_gpt":0.3363872220129057,"score_spread":0.2961148616663926,"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."}}