{"id":"W4312905823","doi":"10.56059/pcf10.9725","title":"Increasing the Enrolment of Women and Girls in TVET in Africa through the Women in Technical Education and Development (WITED)","year":2022,"lang":"en","type":"article","venue":"Tenth Pan-Commonwealth Forum on Open Learning","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commonwealth; Vocational education; Desk; Economic growth; Work (physics); Inclusion (mineral); Political science; Equity (law); Indigenous; Sustainable development; Medical education; Public relations; Sociology; Pedagogy; Gender studies; Medicine; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003397484,0.0003643705,0.0001487087,0.000781213,0.002775548,0.002180282,0.0007832976,0.001062574,0.01498785],"category_scores_gemma":[0.003840774,0.0001574736,0.000367147,0.0006720018,0.001421446,0.001891009,0.008818421,0.001245246,0.001094089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002025253,"about_ca_system_score_gemma":0.008910643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00776407,"about_ca_topic_score_gemma":0.01751196,"domain_scores_codex":[0.9981028,0.0006645529,0.00003439257,0.0001071917,0.0002019013,0.0008891603],"domain_scores_gemma":[0.9980749,0.0004282499,0.000159781,0.00005649554,0.0001391498,0.001141332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000261728,0.001060139,0.03634288,0.001100619,0.00002814858,0.001110426,0.06549638,0.0003415384,0.008040785,0.03875587,0.0423569,0.8051046],"study_design_scores_gemma":[0.0001731677,0.001127865,0.1033709,0.001690424,0.00004468836,0.0004872291,0.0746192,0.0002732249,0.006189888,0.007992417,0.8039926,0.00003858989],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6651587,0.004428487,0.006224084,0.06584302,0.001329136,0.001237411,0.0008116234,0.0002439364,0.2547237],"genre_scores_gemma":[0.9242786,0.003942444,0.008043426,0.005699209,0.0002092693,0.0008087577,0.0003077328,0.00007529394,0.05663524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01498785,"threshold_uncertainty_score":0.05013937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02560055598726666,"score_gpt":0.3158521416578575,"score_spread":0.2902515856705908,"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."}}