{"id":"W4307910041","doi":"10.1007/s44155-022-00023-z","title":"Income, education, and hospitalization in Canada: results from linked census and administrative data","year":2022,"lang":"en","type":"article","venue":"Discover Social Science and Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Residence; Census; Marital status; Health care; Ethnic group; Demography; Geography; Medicine; Gerontology; Immigration; Rural area; Environmental health; Population; Economic growth; Political science","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":[0.001906455,0.0005745547,0.0007811219,0.00523991,0.001983196,0.002387724,0.001626062,0.0004456687,0.003102195],"category_scores_gemma":[0.01282141,0.0003667546,0.001590931,0.01713982,0.0005817753,0.0006333892,0.002059628,0.001042515,0.0003670275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02949264,"about_ca_system_score_gemma":0.05254503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971642,"about_ca_topic_score_gemma":0.9972185,"domain_scores_codex":[0.9976535,0.0002189198,0.0002212939,0.000316479,0.001047119,0.0005425547],"domain_scores_gemma":[0.9873124,0.001286566,0.00242794,0.0005480226,0.006777248,0.001647849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005618873,0.00002215796,0.9898857,0.00008250832,0.0002735874,0.00003530872,0.0001575603,0.0004481091,0.00001612184,0.0001902999,0.005316038,0.003516515],"study_design_scores_gemma":[0.00001280064,0.000007097368,0.9960509,0.00007762342,0.0001093811,0.00002313297,0.0004017347,0.001097937,0.00002476627,0.00006791245,0.002111124,0.00001557657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7082793,0.004824106,0.000635043,0.002030802,0.00008521888,0.0001696842,0.2765537,0.0001453533,0.007276808],"genre_scores_gemma":[0.9122811,0.002455166,0.0008157183,0.0002745872,0.00003205429,0.00008890156,0.08250804,0.0000389304,0.001505462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02949264,"threshold_uncertainty_score":0.2139851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08960574376441743,"score_gpt":0.4132884093798966,"score_spread":0.3236826656154792,"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."}}