{"id":"W2809188725","doi":"10.1177/0020731418779377","title":"How Single-payer Stacks Up: Evaluating Different Models of Universal Health Coverage on Cost, Access, and Quality","year":2018,"lang":"en","type":"article","venue":"International Journal of Health Services","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prepayment of loan; Health care; Business; Universal design; Public economics; Revenue; Repeal; Actuarial science; Quality (philosophy); Health policy; Economic growth; Economics; Political science; Finance; Computer science","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":[0.0445485,0.001637349,0.002741862,0.002621933,0.001431012,0.006977867,0.003235594,0.002975785,0.005337319],"category_scores_gemma":[0.09128334,0.0007601214,0.003534586,0.002784478,0.004268954,0.005719895,0.003882348,0.004344807,0.000434174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.013244,"about_ca_system_score_gemma":0.006332512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09226009,"about_ca_topic_score_gemma":0.03661982,"domain_scores_codex":[0.9705658,0.0243465,0.0005674548,0.001378123,0.001239996,0.001902107],"domain_scores_gemma":[0.8165494,0.1647932,0.007685489,0.003675164,0.004729987,0.002566673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005430888,0.001571172,0.09502017,0.001238414,0.004676758,0.0002174504,0.001278632,0.5725098,0.0002075899,0.2670816,0.01036236,0.0404052],"study_design_scores_gemma":[0.001908738,0.003505086,0.04119038,0.001057451,0.003774146,0.0001012062,0.003582517,0.7776691,0.000744012,0.1609351,0.005258078,0.00027426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.921284,0.009462352,0.01915887,0.01359111,0.0003308708,0.0006540274,0.002112335,0.0001291596,0.03327712],"genre_scores_gemma":[0.9939432,0.0010382,0.002752496,0.0007155809,0.0001217031,0.0001619753,0.0003315574,0.00003104171,0.0009043298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09226009,"threshold_uncertainty_score":0.2355978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.251825699257086,"score_gpt":0.4195795096655511,"score_spread":0.1677538104084652,"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."}}