{"id":"W4409858557","doi":"10.5430/wjel.v15n6p116","title":"Bridging the Language Gap: Supporting Low-Level English Diploma Students at KFU","year":2025,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridging (networking); Computer science; Mathematics education; Information gap; Psychology; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00248439,0.0004167546,0.0003549155,0.0004923433,0.004484598,0.003155629,0.001671746,0.00156925,0.00409081],"category_scores_gemma":[0.005201784,0.0001960237,0.0002675331,0.0002254471,0.000988361,0.00150599,0.005281823,0.001418354,0.001077903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00197063,"about_ca_system_score_gemma":0.01621805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01102451,"about_ca_topic_score_gemma":0.02196569,"domain_scores_codex":[0.9983748,0.0005540306,0.00003832901,0.00007593771,0.0001222568,0.0008346376],"domain_scores_gemma":[0.9938509,0.0005765661,0.0005253425,0.00008095545,0.0004844268,0.004481797],"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":[0.001471461,0.02318993,0.2770118,0.002252312,0.00006643399,0.006148231,0.2086194,0.0004368374,0.01950315,0.003685199,0.01142102,0.4461942],"study_design_scores_gemma":[0.0003933998,0.01272983,0.2894014,0.001946444,0.0001557171,0.0009932766,0.633454,0.0009902765,0.007986375,0.001952381,0.04989574,0.0001012228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951333,0.0002057995,0.0001979536,0.001832902,0.00004606188,0.00008549305,0.00002029855,0.00001168385,0.002466427],"genre_scores_gemma":[0.995638,0.0003064137,0.0008690403,0.0008794344,0.00001795741,0.0001692273,0.00003915996,0.000003347381,0.002077558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01102451,"threshold_uncertainty_score":0.02192068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02075761259000576,"score_gpt":0.3693764197980021,"score_spread":0.3486188072079963,"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."}}