{"id":"W2036694081","doi":"10.1159/000097856","title":"Stroke Associated with Diabetes among Canadians: Sex and Age Differences","year":2006,"lang":"en","type":"article","venue":"Neuroepidemiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research; Diabetes Canada; Canadian Diabetes Association","keywords":"Medicine; Diabetes mellitus; Stroke (engine); Logistic regression; Demography; Gerontology; Internal medicine; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002347196,0.0001979519,0.0006067913,0.0001071168,0.00006039428,0.000009088456,0.00008779678,0.0001132875,0.00004169167],"category_scores_gemma":[0.0006681119,0.000147318,0.00004240207,0.00009811152,0.0003500409,0.00003601693,0.00005369995,0.0002576174,0.000003831463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005171917,"about_ca_system_score_gemma":0.00002639559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002661776,"about_ca_topic_score_gemma":0.003790873,"domain_scores_codex":[0.9985273,0.0001791692,0.0002815701,0.0003979648,0.0001155486,0.000498455],"domain_scores_gemma":[0.9986994,0.0007599295,0.0001372734,0.0002309324,0.00002788943,0.0001445343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001102014,0.000026793,0.9698014,0.00001233661,0.00008699505,0.0001964357,0.00001927521,0.000004947196,0.0009047546,0.0001086526,0.02845488,0.0003724674],"study_design_scores_gemma":[0.0006963447,0.0003133023,0.9941431,0.00003624817,0.0001359929,0.000009407686,0.00004043207,0.0004575402,0.0001259518,0.00007224347,0.0038454,0.0001240662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804201,0.0001482564,0.00004521604,0.00223706,0.00007184059,0.0002681586,0.00002274338,0.00009050963,0.01669619],"genre_scores_gemma":[0.9892436,0.00001913961,0.0002070894,0.003226225,0.000113391,0.00003392962,0.00006810189,0.00002290681,0.007065576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02460948,"threshold_uncertainty_score":0.6007453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407284977387136,"score_gpt":0.2256433534143006,"score_spread":0.2115705036404293,"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."}}