{"id":"W2111132279","doi":"10.1111/roiw.12103","title":"Health Policy and Equity of Health Care Financing in <scp>A</scp>ustralia: 1973–2010","year":2014,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Global Health Care Issues","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Payment; Health care financing; Equity (law); Health care; Distribution (mathematics); Health insurance; Direct Payments; Finance; Public economics; Economics; Business; Actuarial science; Economic growth; Political science","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":[0.0008400892,0.0001460595,0.0001185507,0.001620711,0.0002176268,0.001006215,0.0003505415,0.000326005,0.002423581],"category_scores_gemma":[0.002866883,0.0001324418,0.0002283433,0.005004463,0.0005216179,0.0007772597,0.0005840604,0.0006830277,0.0001019607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01660004,"about_ca_system_score_gemma":0.008044203,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6510181,"about_ca_topic_score_gemma":0.6999497,"domain_scores_codex":[0.9995436,0.00006071308,0.00003589996,0.000056865,0.00009147664,0.0002113619],"domain_scores_gemma":[0.9976087,0.0002837592,0.001508297,0.00004957669,0.0002990647,0.0002505329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001930352,0.00009667683,0.8561501,0.0005206652,0.0003443439,0.0006785339,0.001867021,0.005094351,0.001286827,0.02073753,0.01918785,0.0938431],"study_design_scores_gemma":[0.00001621015,0.00002477295,0.9856986,0.0001256821,0.00003943397,0.0001041236,0.000523338,0.0007235825,0.0002292056,0.0002632654,0.01224185,0.000009838796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558061,0.01349427,0.0002627899,0.007062921,0.00002786636,0.0000447075,0.01024045,0.00001494127,0.01304602],"genre_scores_gemma":[0.9906199,0.004562325,0.0002332651,0.0004250653,0.00002057124,0.00002063691,0.002342624,0.000003630589,0.00177197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6510181,"threshold_uncertainty_score":0.7020742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05221488944666108,"score_gpt":0.4803095553259957,"score_spread":0.4280946658793346,"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."}}