{"id":"W2895624434","doi":"10.1186/s13643-018-0816-4","title":"The HEART score in predicting major adverse cardiac events in patients presenting to the emergency department with possible acute coronary syndrome: protocol for a systematic review and meta-analysis","year":2018,"lang":"en","type":"review","venue":"Systematic Reviews","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute for Health and Care Research; American College of Emergency Physicians; Society for Academic Emergency Medicine","keywords":"Medicine; Mace; Emergency department; Acute coronary syndrome; Checklist; Concordance; Protocol (science); Systematic review; Emergency medicine; Internal medicine; Meta-analysis; Adverse effect; Intensive care medicine; MEDLINE; Percutaneous coronary intervention; Myocardial infarction; Alternative medicine; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05705131,0.005430005,0.01891268,0.009817365,0.002809711,0.006449306,0.004965585,0.006246262,0.04641278],"category_scores_gemma":[0.09396892,0.003702394,0.03014596,0.01009878,0.003005904,0.005306512,0.004800978,0.005506589,0.004451804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0115188,"about_ca_system_score_gemma":0.02982085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006863274,"about_ca_topic_score_gemma":0.01285385,"domain_scores_codex":[0.9670055,0.01534166,0.01020479,0.002713874,0.003434462,0.001299799],"domain_scores_gemma":[0.9698429,0.01193148,0.007636472,0.00314985,0.006286061,0.00115331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01219188,0.0001810097,0.0009517034,0.9258397,0.01978528,0.0002981023,0.0007137143,0.001262812,0.000947257,0.002495371,0.01985375,0.01547958],"study_design_scores_gemma":[0.09090982,0.002988799,0.009739717,0.5799305,0.1373501,0.0006568881,0.001050532,0.003328154,0.002366608,0.01342317,0.1575152,0.0007404655],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0009793079,0.008191098,0.002528275,0.0009671337,0.0005164258,0.9748341,0.01103017,0.0002583749,0.0006950936],"genre_scores_gemma":[0.001062315,0.001721879,0.003190218,0.0003181778,0.0000297955,0.9923922,0.0009841645,0.00001616692,0.0002850452],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.05705131,"threshold_uncertainty_score":0.3017198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1118116359209213,"score_gpt":0.4238745964640041,"score_spread":0.3120629605430827,"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."}}