{"id":"W1972508135","doi":"10.1001/jama.295.10.1135","title":"Coffee, CYP1A2 Genotype, and Risk of Myocardial Infarction","year":2006,"lang":"en","type":"article","venue":"JAMA","topic":"Coffee research and impacts","field":"Medicine","cited_by":488,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Heart, Lung, and Blood Institute; Universidad de Costa Rica; Harvard University","keywords":"Medicine; Odds ratio; Caffeine; Genotype; Confidence interval; CYP1A2; Internal medicine; Myocardial infarction; Allele; Gastroenterology; Logistic regression; Population; Relative risk; Lower risk; Demography; Genetics; Environmental health; Biology; Cytochrome P450","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":[0.0006218143,0.0002196838,0.0002504861,0.0004931925,0.0002005174,0.00047931,0.0002051393,0.0003487156,0.001179946],"category_scores_gemma":[0.002048237,0.0000978243,0.0002292504,0.000729778,0.0002463404,0.0001205638,0.000173457,0.000303554,0.0001628427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002905063,"about_ca_system_score_gemma":0.0002029082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005160335,"about_ca_topic_score_gemma":0.004350952,"domain_scores_codex":[0.9997119,0.0001277286,0.00002306257,0.00005592248,0.00005154513,0.00002965894],"domain_scores_gemma":[0.9986016,0.0002763959,0.0007876212,0.00008399161,0.0001228385,0.0001275637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002689452,0.00003350552,0.9945897,0.00008491344,0.0002526337,0.00007856251,0.00003401285,0.00008659986,0.0004109162,0.00003550731,0.0001806715,0.003944],"study_design_scores_gemma":[0.000005237692,0.00003516151,0.9992968,0.00001322901,0.00008198756,0.0001416575,0.00001516554,0.0001074393,0.00005044161,0.00003158546,0.0002200715,0.000001302831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821165,0.01543276,0.0001469295,0.0006406661,0.00002060112,0.000007730403,0.0003757659,0.00001171521,0.001247237],"genre_scores_gemma":[0.9975588,0.002054286,0.00007895177,0.00005238238,0.00003796411,0.00000288287,0.0001099982,0.000001302973,0.0001034621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005160335,"threshold_uncertainty_score":0.01026058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024161991392351,"score_gpt":0.2679311874210183,"score_spread":0.2576895675070948,"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."}}