{"id":"W2106614859","doi":"10.1016/s0168-8510(01)00161-0","title":"The impact of changes in private health expenditure on New Zealand households","year":2001,"lang":"en","type":"article","venue":"Health Policy","topic":"Global Health Care Issues","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Curtin University of Technology; Victoria University of Wellington; University of Victoria; Johns Hopkins University","keywords":"Per capita; Decile; Subsidy; Payment; Government (linguistics); Government expenditure; Public expenditure; Demographic economics; Aggregate expenditure; Economics; Private sector; Health insurance; Business; Public economics; Public finance; Health care; Economic growth; Environmental health; Finance; Population; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002019418,0.0004097992,0.0005004492,0.001190158,0.001365773,0.003768257,0.000998111,0.002175837,0.01364485],"category_scores_gemma":[0.00989962,0.0005112343,0.001058687,0.00180914,0.001878609,0.002109151,0.002097554,0.001736693,0.0005602639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02698332,"about_ca_system_score_gemma":0.01342734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7545066,"about_ca_topic_score_gemma":0.8141881,"domain_scores_codex":[0.9973024,0.0005802593,0.0001560983,0.0001449191,0.0004828831,0.0013334],"domain_scores_gemma":[0.9949487,0.0008485002,0.001128079,0.0001455381,0.001397028,0.001532052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01029816,0.001297894,0.7423798,0.002352374,0.001049545,0.005442462,0.01971,0.01239124,0.005853991,0.05791662,0.03672212,0.1045857],"study_design_scores_gemma":[0.00008571448,0.0003535818,0.9757083,0.0001225057,0.0001105886,0.0001511657,0.008021519,0.001180828,0.0003196399,0.0007886683,0.01311899,0.0000384141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9261053,0.001946571,0.0001267065,0.03294334,0.0002516389,0.00008226461,0.003455141,0.00001456207,0.03507455],"genre_scores_gemma":[0.9822336,0.001776856,0.0001341399,0.001408729,0.0001634659,0.00003429768,0.0005435241,0.00001084162,0.01369462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7545066,"threshold_uncertainty_score":0.4938782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058559433559975,"score_gpt":0.5278558368043708,"score_spread":0.4219998934483732,"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."}}