{"id":"W4307385111","doi":"10.1093/eurpub/ckac129.294","title":"Multimorbidity in Large Canadian Urban Centres","year":2022,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Neighbourhood (mathematics); Census; Geography; Socioeconomic status; Metropolitan area; American Community Survey; Demography; Logistic regression; Socioeconomics; Medicine; Population; 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":[],"consensus_categories":[],"category_scores_codex":[0.000714704,0.0003471756,0.000394503,0.002004724,0.002309778,0.001339373,0.001329233,0.0002254518,0.003322605],"category_scores_gemma":[0.003192305,0.0002355478,0.0006309481,0.004608848,0.0005123084,0.0003543514,0.001448665,0.0003788192,0.0001689241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01877712,"about_ca_system_score_gemma":0.02350771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9896483,"about_ca_topic_score_gemma":0.993059,"domain_scores_codex":[0.9991259,0.00007188078,0.00004453247,0.0001983001,0.0002626367,0.0002967375],"domain_scores_gemma":[0.998163,0.0001397656,0.0004335195,0.00008979512,0.0007344408,0.0004395598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004333552,0.00001591368,0.984313,0.0001115064,0.00007108425,0.00007332007,0.0006564535,0.0003428712,0.00009028118,0.0002674188,0.003197042,0.01081773],"study_design_scores_gemma":[0.000002624653,0.000005789481,0.9980407,0.00005454102,0.00001468952,0.0000345136,0.0005886879,0.0002674055,0.00003252575,0.00005996435,0.0008902062,0.000008327112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754165,0.001485858,0.0007084576,0.0006128158,0.00003267827,0.0001354696,0.01281426,0.0000808657,0.008713148],"genre_scores_gemma":[0.9970717,0.0003253043,0.000391319,0.000056689,0.000007202986,0.0000433838,0.001582951,0.000005641877,0.0005157894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01877712,"threshold_uncertainty_score":0.1362382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09010502783741178,"score_gpt":0.3469455719880765,"score_spread":0.2568405441506647,"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."}}