{"id":"W2518777552","doi":"10.1016/j.socscimed.2016.09.005","title":"Comprehensive primary health care under neo-liberalism in Australia","year":2016,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Institute of Population and Public Health","funders":"National Health and Medical Research Council","keywords":"Government (linguistics); Health care; Economic growth; Health policy; Health care reform; Health promotion; Population; Public relations; Public administration; Procurement; Political science; Medicine; Business; Economics; Environmental health; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001203186,0.0001890407,0.0005887345,0.0002661936,0.001434059,0.000004995259,0.0004479079,0.0001635888,0.0008637384],"category_scores_gemma":[0.0001238678,0.0001160687,0.00004722468,0.0009627181,0.001276986,0.0003010141,0.0001440302,0.0005040026,0.0001287826],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004427085,"about_ca_system_score_gemma":0.004880546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005831146,"about_ca_topic_score_gemma":0.001215546,"domain_scores_codex":[0.9962924,0.0003956366,0.0007170499,0.0004685914,0.0008314718,0.001294898],"domain_scores_gemma":[0.9983203,0.0004005001,0.0002709355,0.0002659518,0.0003363074,0.0004060511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000127059,0.00005523686,0.1219521,0.000816728,0.00001156923,0.00003148053,0.1978882,2.715724e-7,0.004831762,0.02598743,0.5834754,0.06482273],"study_design_scores_gemma":[0.002630211,0.0001686327,0.6944351,0.0003069862,0.000006859999,0.000001611645,0.01194136,1.153997e-7,0.000006384544,0.003706221,0.2865925,0.0002040144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5305,0.001140767,0.00009810384,0.4205917,0.003830409,0.001288186,0.00003585435,0.0001591469,0.0423559],"genre_scores_gemma":[0.7982686,0.0001599746,0.00005571721,0.195784,0.001569694,0.00005709624,0.00001710226,0.00001916421,0.004068681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.572483,"threshold_uncertainty_score":0.9998659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139260588092032,"score_gpt":0.4934236556469526,"score_spread":0.3794975968377494,"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."}}