{"id":"W4408546352","doi":"10.1186/s12874-025-02531-3","title":"Evaluating methods to define place of residence in Canadian administrative data and the impact on observed associations with all-cause mortality in type 2 diabetes","year":2025,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Diabetes Management and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Residence; Gerontology; Type 2 diabetes; Medicine; Demography; Diabetes mellitus; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09286517,0.001372763,0.001145718,0.004047924,0.003065625,0.003820634,0.004469212,0.001000006,0.001440387],"category_scores_gemma":[0.24695,0.0007153385,0.004242558,0.01092681,0.002029793,0.001698211,0.003887326,0.001752955,0.0002234468],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03480249,"about_ca_system_score_gemma":0.04785705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9564648,"about_ca_topic_score_gemma":0.955929,"domain_scores_codex":[0.9105927,0.05654257,0.004227035,0.004586798,0.02126697,0.002783811],"domain_scores_gemma":[0.7804984,0.1497444,0.02276924,0.01240865,0.03208777,0.002491468],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001396108,0.0001402078,0.921586,0.0007739337,0.00363323,0.00009382669,0.001609198,0.01213516,0.0001557573,0.002836284,0.004169618,0.05147067],"study_design_scores_gemma":[0.0004279028,0.0006546438,0.9142412,0.0008778597,0.001538324,0.0001405269,0.003155248,0.06474358,0.0007089616,0.002044059,0.01120786,0.0002598682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9103109,0.01486115,0.04086737,0.005763995,0.0005728182,0.002191678,0.01638495,0.0003891792,0.008657859],"genre_scores_gemma":[0.950045,0.002217009,0.03997808,0.0005667988,0.0001173373,0.0007309853,0.005125621,0.00009853311,0.001120543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9651975,"threshold_uncertainty_score":0.4911238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8412516278183337,"score_gpt":0.6940008955014625,"score_spread":0.1472507323168712,"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."}}