{"id":"W2890564363","doi":"10.23889/ijpds.v3i4.720","title":"Social Class and Hospitalization in Canada","year":2018,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Census; Operationalization; Social class; Record linkage; Demography; Population; Health care; Medicine; Geography; Environmental health; Economic growth; Sociology; 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":[0.0006884142,0.0003526013,0.0004395577,0.002718057,0.004660007,0.002584575,0.001390849,0.0003969678,0.01283391],"category_scores_gemma":[0.003681191,0.0001883359,0.0009225216,0.005676743,0.001139613,0.0005345907,0.001618221,0.001327753,0.0005477562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04045104,"about_ca_system_score_gemma":0.06257109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965087,"about_ca_topic_score_gemma":0.9967169,"domain_scores_codex":[0.998432,0.00008241812,0.00009000651,0.000178032,0.0005688993,0.0006486392],"domain_scores_gemma":[0.9959325,0.0001430624,0.0007446377,0.000108153,0.001478052,0.001593683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000628726,0.00004476873,0.9612718,0.000146259,0.00008763394,0.00007849899,0.0009673708,0.0001509559,0.00003870901,0.001053104,0.01790257,0.01819547],"study_design_scores_gemma":[0.000008572138,0.00001168157,0.9918979,0.0002025711,0.00003250756,0.00003660909,0.001206386,0.0001614973,0.0000235484,0.0002075376,0.006195966,0.00001508838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8310991,0.01360952,0.0003729803,0.01438997,0.0005047385,0.0002804678,0.08204832,0.0001196331,0.05757528],"genre_scores_gemma":[0.981057,0.003884526,0.0002372461,0.0007221001,0.00009687029,0.00005333389,0.009646112,0.00002322881,0.004279712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04045104,"threshold_uncertainty_score":0.2934942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07406183465839908,"score_gpt":0.4465575170868906,"score_spread":0.3724956824284915,"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."}}