{"id":"W2912407504","doi":"10.1161/str.50.suppl_1.tmp55","title":"Abstract TMP55: Abdominal Obesity Predicts Stroke Risk in the Framingham Study","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kimberly-Clark (Canada)","funders":"","keywords":"Medicine; Waist; Stroke (engine); Hazard ratio; Body mass index; Abdominal obesity; Framingham Heart Study; Framingham Risk Score; Cohort; Proportional hazards model; Waist–hip ratio; Cohort study; Internal medicine; Physical therapy; Confidence interval; Disease","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":[0.001626925,0.0005483243,0.0005471482,0.001190076,0.0004998363,0.0009541175,0.0004157467,0.0007312883,0.002649479],"category_scores_gemma":[0.003159046,0.0004144982,0.0007486516,0.00103582,0.0002553565,0.0004171756,0.0004791332,0.001033879,0.0004197367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002028161,"about_ca_system_score_gemma":0.0002391388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007231983,"about_ca_topic_score_gemma":0.00508914,"domain_scores_codex":[0.999377,0.0002074267,0.00007569361,0.0001277089,0.0001091122,0.0001031152],"domain_scores_gemma":[0.998592,0.0002711336,0.0005881483,0.0001267241,0.0001277776,0.0002942462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002205263,0.00003877015,0.9976189,0.00001383683,0.0001975325,0.00009283844,0.0000411714,0.00005068517,0.0001088304,0.0000213024,0.0003974417,0.001198309],"study_design_scores_gemma":[0.00001106131,0.00003600068,0.9994594,0.000008173603,0.00009553401,0.00008334708,0.00002339729,0.0001315281,0.00001521477,0.00002436806,0.0001092818,0.000002755821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994876,0.001880485,0.0002081893,0.000284811,0.00008342661,0.00001743408,0.00147577,0.00001682263,0.001157162],"genre_scores_gemma":[0.9983748,0.0003466428,0.000121478,0.00006171773,0.000114844,0.0000183031,0.000605006,0.000003584124,0.0003536126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007231983,"threshold_uncertainty_score":0.0143798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079411274213903,"score_gpt":0.2714788278689397,"score_spread":0.2606847151268007,"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."}}