{"id":"W1496556213","doi":"10.1007/bf03405014","title":"Dietary Iron as a Risk Factor for Myocardial Infarction","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Myocardial infarction; Medicine; Internal medicine; Risk factor; Cardiology; Epidemiology; Logistic regression; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003659134,0.000427712,0.0005525771,0.001209953,0.0006462618,0.0005801617,0.0004624157,0.00110198,0.002795379],"category_scores_gemma":[0.002042314,0.0003661577,0.0005183865,0.001298393,0.000343606,0.0002496832,0.0002323906,0.001033889,0.0001629695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005892568,"about_ca_system_score_gemma":0.0008585341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04600253,"about_ca_topic_score_gemma":0.05604421,"domain_scores_codex":[0.999833,0.00005292054,0.00001233861,0.00002308627,0.00004337394,0.00003525423],"domain_scores_gemma":[0.9988531,0.0003109328,0.000241943,0.00006788394,0.0001453006,0.0003808727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002375676,0.0002605731,0.9891579,0.00006222045,0.0003224289,0.0008013714,0.00006947669,0.00007860475,0.0008428842,0.000109872,0.0005546987,0.005364332],"study_design_scores_gemma":[0.00006540434,0.000193773,0.9979347,0.00001926208,0.0003084188,0.0005212353,0.0000746283,0.0003896009,0.00006121452,0.0001192221,0.0003044491,0.000008198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891394,0.005216634,0.0001437463,0.0008330479,0.00007841297,0.00001863468,0.00048877,0.00002354494,0.004057966],"genre_scores_gemma":[0.9973196,0.001106743,0.0003113396,0.0000854907,0.0001205632,0.000006771683,0.0002402613,0.000004253438,0.0008049146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04600253,"threshold_uncertainty_score":0.09146953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06004608407727481,"score_gpt":0.297109305776568,"score_spread":0.2370632216992932,"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."}}