{"id":"W3034486576","doi":"10.2337/db20-1563-p","title":"1563-P: Neighborhood Drivability and Diabetes Incidence in Toronto, Canada","year":2020,"lang":"en","type":"article","venue":"Diabetes","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demography; Incidence (geometry); Medicine; Diabetes mellitus; Gerontology; Ethnic group; Comorbidity; Proportional hazards model; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002414811,0.0002487698,0.0002399782,0.0009103569,0.001551143,0.0008037983,0.0007345666,0.0003218168,0.006219323],"category_scores_gemma":[0.00105123,0.0002047916,0.0005159747,0.002631171,0.0002769299,0.0002322652,0.000634114,0.0005368464,0.0004571181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01548742,"about_ca_system_score_gemma":0.01587172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937282,"about_ca_topic_score_gemma":0.9953358,"domain_scores_codex":[0.9996785,0.00002170904,0.00002924585,0.00005874379,0.000102055,0.0001098817],"domain_scores_gemma":[0.9986437,0.00005128667,0.0002330712,0.00003952747,0.0005889952,0.000443377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005325289,0.0000188051,0.9925137,0.00005154403,0.00004217245,0.00006489068,0.0002023187,0.0001106845,0.00008601555,0.00005040786,0.003507927,0.003298173],"study_design_scores_gemma":[0.000004988907,0.00000836478,0.9985269,0.00003861849,0.00001825782,0.0000303941,0.0002700938,0.0001612053,0.00002089169,0.00001166531,0.0009034411,0.000005070995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558982,0.003151337,0.0001901251,0.001067711,0.00007084863,0.0000653812,0.03207805,0.00004108624,0.007437165],"genre_scores_gemma":[0.9899011,0.0009290146,0.0001778506,0.0001093517,0.00001586758,0.00002440012,0.00610909,0.000008929096,0.002724356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01548742,"threshold_uncertainty_score":0.1123696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007308152097082631,"score_gpt":0.2310894534717358,"score_spread":0.2237813013746532,"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."}}