{"id":"W1516635087","doi":"10.1007/bf03405778","title":"The Health of Canadians on Welfare","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Welfare; Receipt; Odds; Distress; Population; Environmental health; Mental health; Medicine; Demographic economics; Gerontology; Demography; Psychology; Logistic regression; Business; Political science; Economics; Psychiatry; Sociology; Clinical psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001560301,0.0003854599,0.0005891012,0.002023481,0.009917353,0.003776317,0.001375602,0.002298916,0.0122721],"category_scores_gemma":[0.005512167,0.0002408908,0.000773909,0.005373251,0.001754226,0.001408567,0.002396241,0.002749933,0.0003646382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05358298,"about_ca_system_score_gemma":0.131674,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951571,"about_ca_topic_score_gemma":0.9972271,"domain_scores_codex":[0.9958418,0.000328475,0.00006875354,0.0001465389,0.0008571664,0.002757342],"domain_scores_gemma":[0.9949327,0.0001872303,0.0003989858,0.00008740815,0.001917294,0.002476379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003597999,0.0002707521,0.4440452,0.0005808746,0.0003579221,0.0007348196,0.01624598,0.0004974438,0.0003268532,0.07546795,0.3607262,0.1003861],"study_design_scores_gemma":[0.0001047024,0.0001006754,0.7234123,0.001446016,0.0002598936,0.0002141023,0.03722808,0.0003554522,0.0001403552,0.006498322,0.2300941,0.0001458573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4620972,0.02763854,0.0002379922,0.3259025,0.002614815,0.000116114,0.01790853,0.0000441724,0.1634402],"genre_scores_gemma":[0.9559122,0.01254633,0.0001822638,0.01692754,0.0004507421,0.00005001873,0.002556745,0.00001313633,0.01136114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05358298,"threshold_uncertainty_score":0.3887736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06006113841825406,"score_gpt":0.3478642770023647,"score_spread":0.2878031385841107,"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."}}