{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004167036,0.0002591832,0.000278897,0.0005141557,0.0007729852,0.001042102,0.0002528088,0.0003512733,0.001938151],"category_scores_gemma":[0.00178186,0.0002611749,0.0003562409,0.00091061,0.0003519008,0.0005719978,0.0007535438,0.0007076134,0.000204851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006302425,"about_ca_system_score_gemma":0.001658992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009504504,"about_ca_topic_score_gemma":0.01100804,"domain_scores_codex":[0.9995497,0.0001115994,0.00007677388,0.00006200025,0.00005653652,0.0001435031],"domain_scores_gemma":[0.9985006,0.0002428246,0.0003414964,0.00004485481,0.0001835959,0.0006867317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006216094,0.00006322039,0.9975784,0.00001370881,0.00001392539,0.0002986791,0.0004254899,0.0000245658,0.00008124095,0.00001922218,0.0001285414,0.001290836],"study_design_scores_gemma":[0.00001644936,0.0002030738,0.9911053,0.00003204947,0.00004338191,0.001444614,0.006349627,0.0003045191,0.0001083765,0.0000833506,0.0002919277,0.00001720234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991217,0.0001350977,0.00003464132,0.00009520873,0.000008374346,0.000007478105,0.0001255374,9.396849e-7,0.0004711167],"genre_scores_gemma":[0.9992837,0.0001977265,0.0000428752,0.00004236118,0.00001894054,0.000009538372,0.0002428362,0.000001210311,0.0001608267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009504504,"threshold_uncertainty_score":0.01889837,"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."}}