{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001852679,0.00006109554,0.0001393364,0.00004595147,0.002731266,0.0001209197,0.000223189,0.00001977015,0.000008941125],"category_scores_gemma":[0.000285263,0.00006258654,0.000003832847,0.0004873591,0.0003825037,0.0004430997,0.0002407842,0.0001153874,6.933527e-8],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002849,"about_ca_system_score_gemma":0.02666689,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9898508,"about_ca_topic_score_gemma":0.9852197,"domain_scores_codex":[0.998407,0.0001476509,0.0002350267,0.0003507538,0.0005120974,0.0003474783],"domain_scores_gemma":[0.9993948,0.00009906367,0.0001204305,0.0001037606,0.00004847806,0.0002334349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002332777,0.00005405051,0.8076579,0.00003405617,0.000002509506,0.000001718433,0.0758699,5.443411e-7,2.631512e-7,0.08482777,0.006218289,0.0253097],"study_design_scores_gemma":[0.0001925103,0.00001833599,0.8932554,0.00001132606,0.000001384182,1.712967e-7,0.08534382,0.00004050858,8.103083e-8,0.001139255,0.01992731,0.00006992931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9344276,0.000788775,0.000002004402,0.06053166,0.000425739,0.0003135849,0.00105521,0.000006808392,0.002448659],"genre_scores_gemma":[0.994323,0.0006824391,0.00003622692,0.004650978,0.0001153546,0.00001077218,0.0001108263,0.000002697998,0.00006766606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08559749,"threshold_uncertainty_score":0.998567,"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."}}