{"id":"W2091740013","doi":"10.1067/mhj.2000.108240","title":"Strict reliance on a computer algorithm or measurable ST segment criteria may lead to errors in thrombolytic therapy eligibility","year":2000,"lang":"en","type":"article","venue":"American Heart Journal","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Medicine; Lead (geology); Algorithm; Intensive care medicine; Computer science","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":[0.01493882,0.0005770543,0.0008647561,0.002141339,0.001094225,0.002733629,0.0009925535,0.001252904,0.003390534],"category_scores_gemma":[0.1039025,0.0003048245,0.0004218971,0.001347931,0.0007129798,0.001231506,0.001030029,0.001624684,0.002461477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000713926,"about_ca_system_score_gemma":0.002412421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003083858,"about_ca_topic_score_gemma":0.004303748,"domain_scores_codex":[0.984754,0.006647437,0.003175247,0.001142725,0.003823204,0.0004574016],"domain_scores_gemma":[0.9185183,0.05356118,0.005476433,0.009080742,0.01206702,0.001296354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001961089,0.0008408742,0.24447,0.0005703662,0.0002178074,0.001669313,0.001194977,0.003118174,0.009002446,0.009459827,0.05861379,0.6688814],"study_design_scores_gemma":[0.0009646583,0.002137031,0.5262164,0.002861363,0.0009660991,0.02548847,0.002143906,0.1446794,0.07967395,0.0616163,0.1527224,0.0005300646],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5769852,0.003843843,0.3176789,0.01861273,0.004230208,0.001475826,0.001156031,0.005075799,0.07094145],"genre_scores_gemma":[0.8662859,0.0009672014,0.1172267,0.007485048,0.0007270313,0.0003759301,0.0007290097,0.0007284225,0.005474674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01493882,"threshold_uncertainty_score":0.07900494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07141942090888326,"score_gpt":0.4111036202638833,"score_spread":0.339684199355,"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."}}