{"id":"W2034449832","doi":"10.1002/hec.848","title":"Price discrimination in obstetric services – a case study in Bangladesh","year":2003,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Public Health","funders":"Department for International Development","keywords":"Price discrimination; Population; Social Welfare; Welfare; Economics; Homogeneous; Product (mathematics); Government (linguistics); Demographic economics; Medicine; Actuarial science; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001767219,0.0001610122,0.0004658595,0.0009128072,0.00008910512,0.00005464695,0.0001394412,0.00007803011,0.00005320842],"category_scores_gemma":[0.00006693957,0.0002164127,0.00003858496,0.0005262648,0.00001182723,0.0003075308,0.00004227213,0.0001990563,0.0001471213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016521,"about_ca_system_score_gemma":0.0001118389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05358532,"about_ca_topic_score_gemma":0.1000407,"domain_scores_codex":[0.9976227,0.00009863199,0.001215765,0.0005014611,0.00001773822,0.0005437547],"domain_scores_gemma":[0.9990001,0.00009144495,0.0003979102,0.0003468013,0.00001023309,0.0001534652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001294735,0.001099514,0.5149977,0.0007726594,0.00001823787,0.0002850622,0.02202445,0.0007644864,2.360623e-8,0.452121,0.00006507021,0.007838822],"study_design_scores_gemma":[0.009948433,0.001152734,0.5453612,0.0001619297,0.000008104972,0.0003663295,0.07494161,0.02014907,0.000003152948,0.0486385,0.2975818,0.001687121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854659,0.001508935,0.00005554135,0.002374767,0.0004479328,0.001175942,0.00003153503,0.00002251833,0.008916942],"genre_scores_gemma":[0.9965722,0.0007849865,0.0002564432,0.002041221,0.00003223682,0.0001410324,0.000008290376,0.00002431462,0.000139307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4034825,"threshold_uncertainty_score":0.9527169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08297246126235125,"score_gpt":0.3116634400154178,"score_spread":0.2286909787530665,"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."}}