{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003010752,0.0001137643,0.0001453195,0.0003785865,0.0003321889,0.0000404015,0.000255139,0.00006433861,0.0003539928],"category_scores_gemma":[0.000505388,0.0001240474,0.00004348454,0.0003122913,0.0002301004,0.0005939461,0.00002658999,0.0001571703,0.00005014691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006755955,"about_ca_system_score_gemma":0.004940209,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00876846,"about_ca_topic_score_gemma":0.01518064,"domain_scores_codex":[0.9987578,0.0001182294,0.0003188491,0.0002438895,0.0003531186,0.0002081056],"domain_scores_gemma":[0.9989004,0.0001310867,0.00009945536,0.0001169662,0.0006920442,0.00006001269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001207576,0.0008576975,0.7648302,0.00002231785,0.00004037418,0.000001131627,0.07103637,0.00000596714,0.000003686586,0.06173228,0.07770942,0.02374849],"study_design_scores_gemma":[0.0001424212,0.000003598208,0.6294518,0.00004454102,0.000002934014,0.000003876671,0.04283812,0.000001590608,0.000008994364,0.01117815,0.3162046,0.0001192876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.776641,0.01273561,0.000007122207,0.01316553,0.008376084,0.0002013403,0.000009225801,0.00003687358,0.1888272],"genre_scores_gemma":[0.9682384,0.009520727,0.0003159216,0.001562185,0.0008391994,0.0001443635,0.00006205608,0.000009712652,0.0193075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2384952,"threshold_uncertainty_score":0.9978322,"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."}}