{"id":"W3121250252","doi":"","title":"Inequity in Formal Health Care Use: Evidence from Rural Bangladesh","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Health care; Public health; Public economics; Business; Health policy; Health equity; Economic growth; International health; Corporate governance; Microinsurance; Social determinants of health; Microfinance; Economics; Medicine; Nursing; Finance","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005876997,0.0005131829,0.001826456,0.001208447,0.0002394567,0.0003670348,0.001177134,0.001015662,0.0001203892],"category_scores_gemma":[0.0009802434,0.0005468486,0.0003180624,0.0002693592,0.0002077185,0.0006819324,0.001648614,0.003168724,0.000118669],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005444041,"about_ca_system_score_gemma":0.001069977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07647926,"about_ca_topic_score_gemma":0.02724344,"domain_scores_codex":[0.9932866,0.00036977,0.002754923,0.00150061,0.0001633976,0.001924701],"domain_scores_gemma":[0.9963099,0.0004163207,0.0009317615,0.001733644,0.0001156419,0.0004927398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001701276,0.0001441289,0.6911539,0.002062601,0.0001016094,0.00003680127,0.009558816,0.00570086,0.000003914769,0.002771836,0.0001450538,0.2881504],"study_design_scores_gemma":[0.002216951,0.0005881833,0.884461,0.004732554,0.000002461737,0.00001042157,0.004596381,0.01422733,0.00001564265,0.006739686,0.08049182,0.00191754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806357,0.006902413,0.00003127091,0.001231935,0.001608253,0.001623124,0.0007798224,0.00005174722,0.007135712],"genre_scores_gemma":[0.9765817,0.02076308,0.0004749146,0.0003008335,0.0006453161,0.0003196138,0.0003003131,0.0001009178,0.0005133131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2862329,"threshold_uncertainty_score":0.9996983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09329766269553988,"score_gpt":0.3487040039691184,"score_spread":0.2554063412735785,"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."}}