{"id":"W4396542918","doi":"10.1109/ihtc58960.2023.10508864","title":"The Gender Digital Divide and Education in Afghanistan: A Review","year":2023,"lang":"en","type":"review","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Afghan; Digital divide; Political science; Government (linguistics); The Internet; Gender inequality; Inequality; Economic growth; Public relations; Sociology; Gender studies; Information and Communications Technology; Computer science; Law; Economics","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":[0.001849049,0.0008254978,0.001623049,0.005816512,0.0006146693,0.001828769,0.001061983,0.001536791,0.004520711],"category_scores_gemma":[0.004614314,0.0004353251,0.001062093,0.006578313,0.001063814,0.002336654,0.0009892776,0.001308082,0.0007067547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201043,"about_ca_system_score_gemma":0.004629588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004500614,"about_ca_topic_score_gemma":0.00869317,"domain_scores_codex":[0.9993957,0.0001470616,0.0001307791,0.00009100606,0.0001922856,0.00004304746],"domain_scores_gemma":[0.9960872,0.002930794,0.0003871143,0.00004407548,0.0004425702,0.000108241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00006262896,0.00008812488,0.0006280313,0.1258041,0.0002279935,0.0001414175,0.0003171741,0.0001849813,0.0002020269,0.003550168,0.02162684,0.8471664],"study_design_scores_gemma":[0.00002268061,0.0001722938,0.00424275,0.1549113,0.001148279,0.001302827,0.0007713289,0.0001093673,0.0002520822,0.002858425,0.8341635,0.00004512642],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000676998,0.9993244,0.00002023033,0.000237922,0.00007598391,0.000004275031,0.00001035475,0.000001612745,0.0002574241],"genre_scores_gemma":[0.0005497971,0.9991899,0.00003077232,0.0001108218,0.00005093088,0.000004726641,0.000009736259,4.650569e-7,0.00005279272],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005816512,"threshold_uncertainty_score":0.01512331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05378989528661113,"score_gpt":0.3380773712105337,"score_spread":0.2842874759239225,"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."}}