{"id":"W2959240993","doi":"10.1007/s10728-019-00377-7","title":"Neo-Liberalism, Austerity and the Political Determinants of Health","year":2019,"lang":"en","type":"editorial","venue":"Health Care Analysis","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Austerity; Philosophy of medicine; Politics; Liberalism; Political philosophy; Public health; Health informatics; Political science; Health policy; Health geography; Sociology; Political economy; Social science; Public administration; Medicine; International health; Law; Nursing; Alternative medicine","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":[0.0168115,0.003629654,0.005075366,0.006156822,0.005368679,0.01516709,0.00497464,0.02992151,0.009066242],"category_scores_gemma":[0.06141227,0.001572749,0.00225959,0.005273857,0.009362119,0.008169907,0.00241531,0.03475922,0.004187898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007369668,"about_ca_system_score_gemma":0.007124329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01015106,"about_ca_topic_score_gemma":0.02891784,"domain_scores_codex":[0.9906232,0.003383026,0.001143557,0.000887692,0.003539123,0.0004234628],"domain_scores_gemma":[0.8992108,0.08207005,0.002308304,0.001794005,0.01156778,0.003049108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001670519,0.00001167191,0.00002843082,0.0003068269,0.00002799114,0.00004305829,0.00005058453,0.00002353761,0.0000114506,0.002332401,0.9945124,0.002634735],"study_design_scores_gemma":[0.00009743058,0.00001899968,0.0007570038,0.002728213,0.0001452488,0.0001625664,0.0003990011,0.0003785217,0.00006863046,0.02134488,0.9738379,0.00006154476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003699539,0.02850233,0.00009351531,0.1321548,0.8375324,0.000008672758,0.00007849742,0.00001678496,0.001576052],"genre_scores_gemma":[0.0007069926,0.009548529,0.00007775694,0.02480188,0.9608903,0.00001453904,0.00001587405,0.00001868364,0.003925478],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02992151,"threshold_uncertainty_score":0.08890873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657701068373315,"score_gpt":0.4596171423680023,"score_spread":0.4230401316842691,"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."}}