{"id":"W4300928412","doi":"10.1142/9789813232877_0027","title":"From Bismarck to Woodcock: The “Irrational” Pursuit of National Health Insurance","year":2018,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Woodcock; Irrational number; Actuarial science; Economics; Mathematics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001051824,0.0003318337,0.000248893,0.0008363365,0.003050599,0.006006263,0.0003557486,0.001689957,0.008003911],"category_scores_gemma":[0.002221226,0.0002156527,0.0001402561,0.001081314,0.008358659,0.005527075,0.001649298,0.004896466,0.001705774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005126875,"about_ca_system_score_gemma":0.003327752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01831544,"about_ca_topic_score_gemma":0.02543817,"domain_scores_codex":[0.9993783,0.0002226271,0.00001257967,0.00009942674,0.0001991954,0.00008778397],"domain_scores_gemma":[0.9995649,0.0002336663,0.00002097249,0.00003370545,0.00007501831,0.00007159219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007066093,0.000006958546,0.00008006547,0.0000114121,0.000001284369,0.00002225847,0.001382292,0.0000666416,0.00001619905,0.879323,0.1064767,0.01260607],"study_design_scores_gemma":[0.000003231185,0.000006355302,0.0002458557,0.0001405137,0.000001579883,0.00004757933,0.001036128,0.0001414163,0.0000482097,0.275464,0.7228567,0.000008488904],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006940223,0.05866501,0.003099544,0.1170257,0.004723838,0.00001728222,0.00009580686,0.00007621464,0.8093565],"genre_scores_gemma":[0.3030241,0.03944516,0.002579679,0.04866521,0.003525906,0.0000497883,0.0001246712,0.0002355841,0.6023501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01831544,"threshold_uncertainty_score":0.03719831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.103485126506918,"score_gpt":0.2895979923861687,"score_spread":0.1861128658792507,"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."}}