{"id":"W2920913129","doi":"10.1161/circ.139.suppl_1.p389","title":"Abstract P389: Smoking, Biomarkers and Ischemic Stroke Risk: The Reasons for Geographic and Racial Differences in Stroke (REGARDS) Cohort","year":2019,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stuart Olson (Canada)","funders":"","keywords":"Medicine; Stroke (engine); Hazard ratio; Cohort; Internal medicine; Proportional hazards model; Framingham Heart Study; Confounding; Cohort study; Framingham Risk Score; Physical therapy; Disease; Confidence interval","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":[0.001157663,0.000377406,0.0003533742,0.0004347706,0.0004659354,0.000593084,0.0006210184,0.0004040774,0.005481247],"category_scores_gemma":[0.001781651,0.0002246969,0.0006309469,0.0006815565,0.0001429931,0.0003307302,0.0005255322,0.0005340274,0.001197551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001730996,"about_ca_system_score_gemma":0.0004273203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002753513,"about_ca_topic_score_gemma":0.003167361,"domain_scores_codex":[0.999409,0.0001518788,0.00005776896,0.000137178,0.0001789344,0.00006523147],"domain_scores_gemma":[0.9992473,0.00006905937,0.0002834808,0.0001356721,0.0001169924,0.0001474897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001171819,0.0001040679,0.98271,0.00007147872,0.0003523575,0.0003047071,0.0001101015,0.00006947268,0.002553448,0.0001441911,0.004654578,0.007753872],"study_design_scores_gemma":[0.00008977949,0.0002780249,0.9911412,0.00001801811,0.0001943245,0.0006514667,0.00009237605,0.0002472934,0.0007369395,0.0001506111,0.006390731,0.000009233213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684308,0.001330982,0.001312377,0.0008603865,0.0001586265,0.0001233453,0.02463574,0.00008534446,0.003062418],"genre_scores_gemma":[0.9845574,0.0004675645,0.001065319,0.0002586268,0.0002229215,0.000178606,0.008292895,0.00004269502,0.004913996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005481247,"threshold_uncertainty_score":0.01833659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132665026734354,"score_gpt":0.2515902897678731,"score_spread":0.2402636395005295,"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."}}