{"id":"W2945354693","doi":"10.18860/ijazarabi.v2i2.5608","title":"ARABIC LANGUAGE IN GOVERNMENT AND PRIVATE SCHOOLS IN NIGERIA/ اللغة العربية في المدارس الحكومية والأهلية في نيجيريا","year":2019,"lang":"en","type":"article","venue":"Ijaz Arabi Journal of Arabic Learning","topic":"Arabic Language Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arabic; Government (linguistics); Curriculum; Political science; Quarter (Canadian coin); Private sector; Economic growth; Linguistics; History; Economics; Law","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":[0.000717109,0.0001376888,0.0001660185,0.000932819,0.004084416,0.002677088,0.0002456422,0.0005915361,0.00790101],"category_scores_gemma":[0.001369824,0.0002553551,0.0001035846,0.001339222,0.001689273,0.001205519,0.001276299,0.0007545229,0.0007205661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002508355,"about_ca_system_score_gemma":0.004972018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026675,"about_ca_topic_score_gemma":0.06234033,"domain_scores_codex":[0.9992606,0.0002247916,0.0000554099,0.00006628661,0.0001627556,0.0002301755],"domain_scores_gemma":[0.9984464,0.0002932943,0.0004750863,0.00003679255,0.0002238123,0.0005246002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001987835,0.0004743463,0.6404195,0.0006171112,0.00001374687,0.004716347,0.2419008,0.0001098045,0.00212983,0.01713395,0.00844695,0.0838388],"study_design_scores_gemma":[0.0000109949,0.000110658,0.3971981,0.0004568304,0.00001079513,0.001508129,0.5648066,0.0001307906,0.0003414497,0.0009673377,0.03443912,0.00001918155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846115,0.00199437,0.00004535477,0.002283199,0.00004321575,0.00001378854,0.00006127962,0.000003877392,0.01094361],"genre_scores_gemma":[0.9940303,0.001366567,0.00008593421,0.0001654684,0.00001232895,0.00000822034,0.0000273222,0.000002329362,0.004301411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02026675,"threshold_uncertainty_score":0.04029757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008404573352825857,"score_gpt":0.2945474843803154,"score_spread":0.2861429110274895,"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."}}