{"id":"W6983685686","doi":"","title":"National Health Insurance: Truly Taking Care of a Nation","year":2008,"lang":"en","type":"other","venue":"NC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro)","topic":"Hispanic-African Historical Relations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Underinsured; Government (linguistics); Health care; Variety (cybernetics); Universal coverage; Cover (algebra); Order (exchange); Health insurance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000859644,0.0002094935,0.000481037,0.0005514836,0.000572818,0.000004963333,0.0002272215,0.0001365021,0.0002253591],"category_scores_gemma":[0.0001658791,0.0002099741,0.0002034757,0.0003488679,0.0005372395,0.0002290256,0.00008985678,0.0002879552,0.00001366875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004642363,"about_ca_system_score_gemma":0.0006450251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003730204,"about_ca_topic_score_gemma":0.04471897,"domain_scores_codex":[0.9987031,0.00008926991,0.0003571361,0.0002593408,0.0004464919,0.00014465],"domain_scores_gemma":[0.9975809,0.0001448382,0.0009381917,0.0001772237,0.001071657,0.00008719855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003778758,0.0006333863,0.8454807,0.0007708766,0.0003516104,0.000005391901,0.04599188,0.00004349925,0.000002102521,0.008749901,0.08367171,0.01392102],"study_design_scores_gemma":[0.0009656176,0.0002348116,0.40775,0.0001976005,0.00003478,0.000005393801,0.0001152337,0.000031966,9.675962e-7,0.00002423957,0.5904699,0.0001694647],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4544838,0.00834704,0.00004429302,0.0001870834,0.0007403337,0.001076395,0.004772592,0.0001305696,0.5302179],"genre_scores_gemma":[0.8854628,0.0005708391,0.00007138363,0.00001019171,0.0001832168,7.136948e-7,0.0003133111,0.0000552422,0.1133323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5067982,"threshold_uncertainty_score":0.9727124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03604652897173214,"score_gpt":0.2356028686358911,"score_spread":0.199556339664159,"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."}}