{"id":"W1912720989","doi":"10.1186/s12962-015-0042-z","title":"Matching comprehensive health insurance reimbursements to their real costs: the case of antenatal care visits in a region of Peru","year":2015,"lang":"en","type":"article","venue":"Cost Effectiveness and Resource Allocation","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grand Challenges Canada","keywords":"Health economics; Medicine; Reimbursement; Activity-based costing; Health care; Psychological intervention; Total cost; Actuarial science; Environmental health; Public health; Business; Economic growth; Nursing; Economics; Accounting","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.006102948,0.0004753266,0.0006335833,0.001821907,0.0006843618,0.001965825,0.001428408,0.001622422,0.00415068],"category_scores_gemma":[0.04452919,0.0004287202,0.001713111,0.002856715,0.000747016,0.001392565,0.00218766,0.001346993,0.0001434872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004054036,"about_ca_system_score_gemma":0.001918561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1206764,"about_ca_topic_score_gemma":0.06168749,"domain_scores_codex":[0.9949662,0.00373558,0.0001433258,0.0003552605,0.0002076949,0.0005919883],"domain_scores_gemma":[0.979311,0.01635738,0.002533954,0.0007296895,0.0006867185,0.0003812571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000920226,0.0005402584,0.8912103,0.0003726886,0.001193262,0.004747802,0.001490295,0.06198109,0.000305918,0.008215406,0.001915293,0.02710738],"study_design_scores_gemma":[0.0001790739,0.0008249907,0.7790988,0.0003670755,0.001117797,0.002775575,0.009298133,0.1922937,0.0004160925,0.008629777,0.004869689,0.0001292043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929068,0.0008868495,0.001586112,0.001382446,0.000008205091,0.00009816637,0.0004441796,0.00002119751,0.002666059],"genre_scores_gemma":[0.9981862,0.0002448696,0.001027167,0.00006621035,0.000008829814,0.0000312026,0.0002390533,0.000005414891,0.0001910731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1206764,"threshold_uncertainty_score":0.2399479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05262116287633975,"score_gpt":0.2986025876458584,"score_spread":0.2459814247695186,"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."}}