{"id":"W2009004028","doi":"10.1136/bmj.c2154","title":"The importance of government policies in reducing employment related health inequalities","year":2010,"lang":"en","type":"article","venue":"BMJ","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"British Heart Foundation","keywords":"Inequality; Government (linguistics); Welfare state; Welfare; State (computer science); Public economics; Health equity; Economics; Labour economics; Political science; Economic growth; Health care; Law; Politics; Computer science; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.009915964,0.0004756017,0.0006413993,0.002118835,0.003296105,0.004907014,0.0009959813,0.006242238,0.007035688],"category_scores_gemma":[0.02246812,0.0002789499,0.0007807423,0.001728875,0.004681814,0.002970151,0.006989656,0.005265623,0.0006188998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004718383,"about_ca_system_score_gemma":0.02134007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02697968,"about_ca_topic_score_gemma":0.04144116,"domain_scores_codex":[0.9919476,0.003822056,0.0002003074,0.0003048498,0.001206638,0.002518628],"domain_scores_gemma":[0.9875217,0.005766068,0.001536373,0.0004706787,0.001170393,0.00353479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000439574,0.00161828,0.06297584,0.003775839,0.0005005875,0.0009995584,0.01233489,0.002675039,0.00147695,0.265827,0.1849101,0.4624663],"study_design_scores_gemma":[0.0004504437,0.0008454305,0.2742759,0.01687914,0.0003762833,0.0004967191,0.01993331,0.001968148,0.0008044275,0.1831729,0.5006797,0.0001173959],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04096771,0.03722867,0.001507388,0.8592597,0.004569972,0.00009544766,0.0002465409,0.00005876485,0.05606584],"genre_scores_gemma":[0.7376301,0.04391123,0.003824778,0.1987523,0.006125922,0.000306274,0.0001659748,0.00004478711,0.009238793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02697968,"threshold_uncertainty_score":0.05364531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06263585023941665,"score_gpt":0.4361487977894106,"score_spread":0.373512947549994,"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."}}