{"id":"W2954941636","doi":"10.24940/ijird/2019/v8/i3/mar19017","title":"The Impact of National Health Insurance Scheme Policy on the Enrollees in Federal Medical Center Keffi, Nasarawa State, Nigeria","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Research and Development","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Memorandum; Business; Medical prescription; Pharmacy; Government (linguistics); Health care; Quarter (Canadian coin); National health insurance; Population; Family medicine; Medicine; Environmental health; Economic growth; Nursing; Geography; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005620029,0.0000876972,0.0002535416,0.0006016655,0.0001261318,0.00007876354,0.0003857271,0.00004473896,0.00006436098],"category_scores_gemma":[0.0007590379,0.00004416546,0.00004212443,0.0004814206,0.0001226264,0.0001247758,0.00009506734,0.0004991868,0.00002443886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008103463,"about_ca_system_score_gemma":0.002507119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008457087,"about_ca_topic_score_gemma":0.00008984441,"domain_scores_codex":[0.9977681,0.00009195105,0.001107033,0.0001246753,0.0006268158,0.0002814468],"domain_scores_gemma":[0.9977344,0.0002355699,0.0005451519,0.00006763561,0.001324156,0.00009304305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001884644,0.0001137743,0.9896092,0.00001052145,0.0001433996,0.000003771702,0.0009843387,0.000009923325,0.00001096242,0.003437125,0.0006019882,0.004886489],"study_design_scores_gemma":[0.000839023,0.0002760475,0.9935123,0.0001705267,1.754857e-10,0.00001939823,0.0002485428,0.000004372574,0.0000468221,0.003705526,0.00113107,0.00004640898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903433,0.000353625,0.00004782037,0.006118074,0.0002323963,0.0001914444,0.00004677861,0.000001127633,0.002665402],"genre_scores_gemma":[0.998647,0.0005914193,0.0000841349,0.000301095,0.0001227404,0.000007877175,0.000004211005,0.000006394398,0.0002351669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008303629,"threshold_uncertainty_score":0.4447521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09233705482080201,"score_gpt":0.4215316034861739,"score_spread":0.3291945486653718,"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."}}