{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001239323,0.00003811578,0.00005624592,0.0001106584,0.0008858382,0.0002574004,0.0006899794,0.00001962909,0.00003716514],"category_scores_gemma":[0.0009173084,0.00003749935,0.000007645921,0.0002006941,0.0001946262,0.001504702,0.00009744439,0.00005336169,8.483284e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007260402,"about_ca_system_score_gemma":0.00187504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8398902,"about_ca_topic_score_gemma":0.9721804,"domain_scores_codex":[0.9987155,0.00002991477,0.0002148647,0.0001525555,0.0006703876,0.0002168143],"domain_scores_gemma":[0.9993095,0.0000594738,0.0001127637,0.0000669506,0.0003544664,0.00009682101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001664929,0.00000944361,0.8237595,0.000003720384,0.000003765017,0.000002147791,0.00137687,0.00001082894,0.000003881125,0.1468062,0.007180372,0.02082668],"study_design_scores_gemma":[0.0002062483,0.000007302264,0.8908105,0.00001698588,0.000001616761,0.000003088646,0.00126177,0.004931952,0.00000267693,0.003576762,0.09911354,0.00006748916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611199,0.00003007354,0.001260321,0.03062075,0.00516187,0.000179703,0.0001097481,0.000009449695,0.001508173],"genre_scores_gemma":[0.9974214,0.00004102438,0.0004099564,0.001119029,0.0008890689,0.000001514443,0.00003428683,0.000002527529,0.00008115805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1432294,"threshold_uncertainty_score":0.6813241,"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."}}