{"id":"W2107313774","doi":"10.5539/ies.v5n4p229","title":"Use of Career Education and Occupation Information Services in Boosting Enrolment into Vocational and Technical Education Programs in Nigeria","year":2012,"lang":"en","type":"article","venue":"International Education Studies","topic":"African Education and Politics","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocational education; Scope (computer science); Poverty; Unemployment; Career development; Medical education; Public relations; Service (business); Economic growth; Psychology; Political science; Pedagogy; Business; Marketing; Medicine; Economics","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":[0.0006155541,0.0001248879,0.0001530558,0.0005305782,0.0001419909,0.0001018814,0.000113879,0.00008830347,0.00001736916],"category_scores_gemma":[0.0009624482,0.0001349072,0.00002121975,0.0003643173,0.0002084285,0.002079477,0.00006079345,0.0001065702,0.000005656109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005894725,"about_ca_system_score_gemma":0.001323822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005073736,"about_ca_topic_score_gemma":0.004022368,"domain_scores_codex":[0.998626,0.0001280152,0.0005343737,0.0001551144,0.0003606983,0.0001957772],"domain_scores_gemma":[0.9980416,0.0001888873,0.0003086894,0.0001015335,0.001252683,0.0001066174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001133017,0.000594886,0.765761,0.00007559275,0.00001368375,9.571703e-9,0.09070075,0.000002264797,0.00001546296,0.03773529,0.0005424372,0.1045473],"study_design_scores_gemma":[0.0001318224,0.00001804451,0.758244,0.0002782726,0.00001233389,0.00000406551,0.1740604,0.00002203541,0.00001673712,0.003566614,0.06348131,0.0001642691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886972,0.001528529,0.00002786924,0.003711047,0.002400694,0.0004641204,0.000004584051,0.00002327084,0.003142741],"genre_scores_gemma":[0.993382,0.0005911596,0.004146146,0.0006819722,0.0003313897,0.0003415702,0.0001687309,0.000006748103,0.0003503129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.104383,"threshold_uncertainty_score":0.7670006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08605037549165798,"score_gpt":0.420482680499398,"score_spread":0.33443230500774,"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."}}