{"id":"W2997007338","doi":"10.1007/s12265-019-09950-w","title":"MGUS Predicts Worse Prognosis in Patients with Coronary Artery Disease","year":2020,"lang":"en","type":"article","venue":"Journal of Cardiovascular Translational Research","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Mace; Medicine; Proportional hazards model; Nomogram; Internal medicine; Coronary artery disease; Retrospective cohort study; Cohort; Cardiology; Oncology; Percutaneous coronary intervention; Myocardial infarction","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":[0.000902636,0.0001091837,0.0003577883,0.0003025079,0.0000552831,0.00002579174,0.000121778,0.00004984416,0.0001484723],"category_scores_gemma":[0.0004246902,0.00008430459,0.0006251566,0.0005197109,0.000100145,0.000214863,0.00001991867,0.0005704677,0.00001264028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006444127,"about_ca_system_score_gemma":0.0005218562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000271428,"about_ca_topic_score_gemma":0.000001589178,"domain_scores_codex":[0.9964484,0.0002215901,0.0004495901,0.000182108,0.002453985,0.0002443591],"domain_scores_gemma":[0.9979694,0.0002141553,0.0000537602,0.0001581965,0.001115966,0.0004885039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005908823,0.0009714693,0.9649501,0.000190528,0.001451264,0.002250862,0.0001932552,0.003686739,0.000004708733,0.00005012768,0.0005120457,0.01983003],"study_design_scores_gemma":[0.00658774,0.00167295,0.9860472,0.0004680766,0.0003530456,0.00006879999,0.00004544306,0.0003123579,0.00001056154,0.00008826933,0.00426574,0.00007979023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988677,0.005161882,0.00152349,0.003634397,0.00005156959,0.0006381157,0.00003503622,0.000007814935,0.0002707227],"genre_scores_gemma":[0.9987696,0.000184742,0.0006431809,0.00006935237,0.0002365773,0.00001561101,0.00004396476,0.00001997101,0.00001698018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02109708,"threshold_uncertainty_score":0.3437842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05486916914743688,"score_gpt":0.3130943794580061,"score_spread":0.2582252103105692,"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."}}