{"id":"W2148064186","doi":"10.1017/s1744133106003045","title":"The private–public mix of healthcare: evidence from a decentralised NHS country","year":2006,"lang":"en","type":"article","venue":"Health Economics Policy and Law","topic":"Global Health Care Issues","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"Norges Forskningsråd; Universitetet i Oslo","keywords":"Politics; Scarcity; Revenue; Socioeconomic status; Business; Norwegian; Public economics; Health care; Economics; Demographic economics; Economic growth; Finance; Political science; Market economy; Environmental health; Medicine; Population","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":[0.004539623,0.0001819985,0.0006730125,0.002165387,0.001049834,0.001759645,0.0008024559,0.0004571386,0.008151463],"category_scores_gemma":[0.01921434,0.0007112253,0.0005690237,0.004153574,0.003070227,0.001562616,0.004581787,0.0009677897,0.0005108226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003125535,"about_ca_system_score_gemma":0.00292538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07089493,"about_ca_topic_score_gemma":0.1302996,"domain_scores_codex":[0.9938531,0.002901471,0.0005450663,0.0006236006,0.001050039,0.001026643],"domain_scores_gemma":[0.9677136,0.008548965,0.01478838,0.002701363,0.002567683,0.00368001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001036891,0.0002005794,0.9770114,0.0005931066,0.0003780311,0.0003092423,0.005227398,0.0005058325,0.0001717992,0.001246051,0.001569085,0.01175066],"study_design_scores_gemma":[0.00006786917,0.0001439097,0.9956136,0.0001679525,0.00005109347,0.00009536919,0.002495879,0.00008152451,0.000032081,0.0001236937,0.001117891,0.00000905491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940182,0.001500547,0.0000878559,0.0007739401,0.00002134361,0.0000289305,0.0005938766,0.000003154103,0.00297229],"genre_scores_gemma":[0.9984464,0.0006239146,0.00007210871,0.0001873348,0.00002287004,0.00001631217,0.0003024426,0.000004225621,0.0003244432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07089493,"threshold_uncertainty_score":0.1409646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07324549846169492,"score_gpt":0.4201636409906549,"score_spread":0.34691814252896,"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."}}