{"id":"W2045888765","doi":"10.1161/circulationaha.110.953653","title":"Microvascular Function Predicts Cardiovascular Events in Primary Prevention","year":2011,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":374,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Population Health Research Institute; University of Toronto; Dalhousie University; McGill University; Alberta Health Services","funders":"Canadian Institutes of Health Research; Pfizer","keywords":"Medicine; Primary prevention; Primary (astronomy); Cardiology; Function (biology); Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008326244,0.0001716119,0.0003974788,0.0002980582,0.00006604434,0.000005168332,0.00005051543,0.0001791714,0.0001059037],"category_scores_gemma":[0.00006020689,0.0001870647,0.0009391445,0.0003989489,0.00002139319,0.0002842967,0.00002653786,0.0001660477,0.00009100073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003207961,"about_ca_system_score_gemma":0.0001902117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001135806,"about_ca_topic_score_gemma":0.000007586613,"domain_scores_codex":[0.9980647,0.0001973609,0.0004393441,0.0004441419,0.0005605351,0.000293896],"domain_scores_gemma":[0.9989901,0.000007907881,0.00008714639,0.0006054894,0.0001196851,0.0001897342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001124386,0.0008490592,0.8694381,0.001091409,0.00123793,0.00005353952,0.0003582348,0.0003528342,0.002547893,0.0001802138,0.00004666143,0.1227198],"study_design_scores_gemma":[0.004000328,0.00004789274,0.9922063,0.0002062577,0.000855512,0.00006854266,0.00002838729,0.0001953374,0.000161882,0.001422118,0.0006502658,0.0001571976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578297,0.005037211,0.03123852,0.00001474479,0.0003405181,0.001381367,0.000001460936,0.0001219031,0.004034605],"genre_scores_gemma":[0.9985482,0.0001512887,0.000478507,0.0001167494,0.0001794358,0.0001203942,0.00032463,0.00003145567,0.00004936194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1227682,"threshold_uncertainty_score":0.7628278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02782015134966449,"score_gpt":0.2429577103689733,"score_spread":0.2151375590193089,"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."}}