{"id":"W2095927177","doi":"10.5539/ies.v1n2p115","title":"Gender Disparities in Secondary Education in Bangladesh","year":2008,"lang":"en","type":"article","venue":"International Education Studies","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Dhaka","keywords":"Retention rate; Acknowledgement; Dropout (neural networks); Demography; Stipend; Higher education; Demographic economics; Psychology; Economics; Economic growth; Political science; Sociology; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007267185,0.00007917654,0.0002337031,0.0008308454,0.0007233077,0.0006247456,0.000144704,0.0002233003,0.007088571],"category_scores_gemma":[0.00167707,0.00006525223,0.0001535396,0.0009363324,0.000480215,0.0003565487,0.0006772291,0.0002589207,0.0003761786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006970722,"about_ca_system_score_gemma":0.0007624062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02535579,"about_ca_topic_score_gemma":0.04589747,"domain_scores_codex":[0.9996263,0.00009068592,0.00002832419,0.00004592628,0.00007965481,0.000129149],"domain_scores_gemma":[0.9994351,0.0001400368,0.0001499826,0.00002176868,0.00006279824,0.0001902552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001150843,0.00010216,0.9636737,0.0000495458,0.00002590706,0.0003895435,0.008464677,0.00008459535,0.0006005964,0.005515879,0.001170126,0.01980811],"study_design_scores_gemma":[0.000004963695,0.0000774032,0.9872181,0.00005364166,0.000007776868,0.0002249832,0.008166933,0.0001025753,0.00009134662,0.0009582567,0.003087038,0.000007149991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927234,0.0005122853,0.00004831972,0.0007617561,0.00001183127,0.000008323605,0.0002231417,0.000001754139,0.005709223],"genre_scores_gemma":[0.9990892,0.0001636143,0.00001798125,0.0000454304,0.00000306337,0.000002768411,0.00004431342,8.099663e-7,0.0006327826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02535579,"threshold_uncertainty_score":0.05041641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04791369152178649,"score_gpt":0.3708702652533303,"score_spread":0.3229565737315438,"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."}}