{"id":"W2019486939","doi":"10.1080/19371910903126747","title":"Rural Women's Access to Health Care in Bangladesh: Swimming Against the Tide?","year":2011,"lang":"en","type":"article","venue":"Social Work in Public Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Health care; Business; Bureaucracy; Developing country; Population; Health services; Nursing; Economic growth; Medicine; Environmental health; Political science; Economics; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001270938,0.0001974057,0.0002544978,0.00058284,0.001614048,0.002231181,0.0005242,0.001341964,0.01035406],"category_scores_gemma":[0.003220561,0.0002413561,0.000151859,0.001065143,0.002294702,0.001916788,0.001785383,0.0011183,0.0005768457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002008385,"about_ca_system_score_gemma":0.003738742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05609612,"about_ca_topic_score_gemma":0.1049339,"domain_scores_codex":[0.998875,0.0005981133,0.0000454852,0.00005710751,0.0001042747,0.0003199562],"domain_scores_gemma":[0.9987174,0.0003223277,0.0002674021,0.00002694936,0.0001219406,0.0005439855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004438382,0.0003598767,0.3982566,0.002881503,0.0001177438,0.006514884,0.2257328,0.0002375296,0.00293239,0.02465495,0.07928892,0.258579],"study_design_scores_gemma":[0.0001097862,0.0005298867,0.3796972,0.002282269,0.00006117999,0.002279246,0.4682208,0.0001137649,0.0001563444,0.006775555,0.139677,0.00009701184],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5455678,0.02649585,0.0001934307,0.381927,0.0004733815,0.00006907088,0.0004681476,0.00002367347,0.04478164],"genre_scores_gemma":[0.9724731,0.01607939,0.0001081383,0.007530691,0.000241067,0.00003778918,0.00004830167,0.000005947213,0.003475662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05609612,"threshold_uncertainty_score":0.1115392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04806622828543129,"score_gpt":0.3369405200520833,"score_spread":0.288874291766652,"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."}}