{"id":"W3180368509","doi":"","title":"Predicting factors of adverse outcomes in STEMI patients undergoing primary and rescue percutaneous coronary intervention: Thailand tertiary care center experience","year":2018,"lang":"en","type":"article","venue":"Current research. Cardiology","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Tertiary care; Percutaneous coronary intervention; Emergency medicine; Adverse effect; Center (category theory); Medical emergency; Intervention (counseling); Internal medicine; Intensive care medicine; Myocardial infarction; Nursing","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":[0.0006225653,0.0002050711,0.0006155192,0.0005261826,0.0001616786,0.00001069648,0.0002163013,0.0001657037,0.00004968259],"category_scores_gemma":[0.0008081139,0.0001646409,0.0001941062,0.0002555152,0.001106347,0.0001585169,0.0006976875,0.0007671583,0.00001125626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000433819,"about_ca_system_score_gemma":0.0001768784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001932623,"about_ca_topic_score_gemma":0.00007390504,"domain_scores_codex":[0.9967269,0.0007967406,0.0005346832,0.0005562973,0.0007427114,0.0006426287],"domain_scores_gemma":[0.9981142,0.0004697186,0.00006515668,0.0004486793,0.0006738423,0.0002284125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003889326,0.0001176845,0.9903489,0.0004206643,0.0001276776,0.0001018942,0.003429868,0.000003460007,0.0003307494,0.000006024412,0.0003043552,0.004419823],"study_design_scores_gemma":[0.002094418,0.001049699,0.9876878,0.000433711,0.00002107971,0.0001734639,0.00704069,0.00004330162,0.0001411358,0.000006707774,0.001185043,0.0001229245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962211,0.001072828,0.00002148994,0.0001335153,0.0005879137,0.0009041395,0.00008039201,0.00003271695,0.0009459089],"genre_scores_gemma":[0.9989372,0.0005007173,0.00002945012,0.00004626769,0.0001721784,0.00004898801,0.0001734719,0.00002510193,0.00006660383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004296898,"threshold_uncertainty_score":0.6713859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0516767955580324,"score_gpt":0.3805118992174076,"score_spread":0.3288351036593752,"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."}}