{"id":"W2902277120","doi":"10.1371/journal.pone.0208444","title":"Widening health inequalities between the employed and the unemployed: A decomposition of trends in Canada (2000-2014)","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Public Health Ontario; University of Toronto","funders":"","keywords":"Inequality; Unemployment; Socioeconomic status; Demographic economics; Social inequality; Health equity; Self-rated health; Epidemiology; Demography; Economics; Sociology; Medicine; Health care; Economic growth; Population; Mathematics","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":[0.001596075,0.0005604944,0.0006298735,0.006070401,0.002945703,0.001979241,0.001496742,0.0005830865,0.002774685],"category_scores_gemma":[0.003932517,0.0003466387,0.002091607,0.01128166,0.0007199685,0.0007861201,0.001994309,0.001227384,0.000238923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04029889,"about_ca_system_score_gemma":0.08506627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976094,"about_ca_topic_score_gemma":0.997804,"domain_scores_codex":[0.9982136,0.00008714764,0.0001390658,0.0002312917,0.0005187484,0.0008101688],"domain_scores_gemma":[0.9969602,0.0001135755,0.0004415435,0.00009595528,0.001844138,0.0005445522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001161826,0.0000270697,0.97118,0.000279907,0.000323229,0.0001082177,0.001535031,0.0006994893,0.0002155933,0.001592414,0.007583733,0.0163391],"study_design_scores_gemma":[0.000004456806,0.00000822025,0.9942082,0.0001534153,0.00008625391,0.00002986253,0.00121645,0.000829451,0.0000750688,0.0001402338,0.003227209,0.00002119696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8824797,0.01019598,0.001672611,0.009487404,0.0002212934,0.0002369366,0.08522069,0.0001424731,0.0103429],"genre_scores_gemma":[0.9769726,0.0030687,0.001665056,0.0007527125,0.00004855784,0.00008776586,0.01503125,0.00002771284,0.002345674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04029889,"threshold_uncertainty_score":0.2923902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09379474435519099,"score_gpt":0.371723068457842,"score_spread":0.2779283241026511,"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."}}