{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001841816,0.0001416178,0.0004251876,0.00001593663,0.00004070348,0.000008820771,0.00006473991,0.0000693523,0.0001024597],"category_scores_gemma":[0.0005579086,0.0001197666,0.00007128311,0.0001312068,0.00005068561,0.00009470282,0.00005411125,0.0001730533,0.000002951501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003017653,"about_ca_system_score_gemma":0.0004351196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2413558,"about_ca_topic_score_gemma":0.3040102,"domain_scores_codex":[0.9987423,0.0000578435,0.0002379046,0.0003109332,0.0002573047,0.0003936518],"domain_scores_gemma":[0.9991009,0.0001345583,0.00003474426,0.0002259648,0.00004215071,0.0004617129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008392118,0.00001650896,0.9905545,0.0002513963,0.00003335751,0.00001036697,0.0001642771,0.000001517254,0.0008105109,0.00001841545,0.0006904784,0.007440348],"study_design_scores_gemma":[0.0006626803,0.00009904189,0.9929908,0.00005893499,0.00003881507,5.607045e-7,0.0002079045,0.000678828,0.002445603,0.00004292582,0.002638711,0.0001351832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880274,0.008147015,0.000001732032,0.002927784,0.0001218515,0.0002981222,0.00002783438,0.00003443966,0.0004138457],"genre_scores_gemma":[0.9956512,0.0001947293,0.00006368127,0.003891193,0.000145236,0.00001745475,0.00001592643,0.00001382906,0.00000668642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06265447,"threshold_uncertainty_score":0.7636961,"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."}}