{"id":"W4409824679","doi":"10.5430/wjel.v15n6p47","title":"Lecturers’ Perspectives on Fostering Future Skills among Omani EFL Learners","year":2025,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Psychology; Computer science","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":[0.006365509,0.0004208475,0.0003694202,0.000713795,0.006184391,0.003791146,0.0009781445,0.001177522,0.002888183],"category_scores_gemma":[0.009092214,0.0002612862,0.0003308844,0.0004087067,0.003730831,0.001833648,0.002947909,0.002728851,0.0005189427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002174188,"about_ca_system_score_gemma":0.00220768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002731214,"about_ca_topic_score_gemma":0.005352301,"domain_scores_codex":[0.9955702,0.002879827,0.0001567916,0.0001742587,0.0004674808,0.0007513706],"domain_scores_gemma":[0.9941586,0.002735276,0.0006878855,0.0001611748,0.000825443,0.001431657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006755748,0.0001980177,0.01411327,0.0002102896,0.00001120062,0.003117685,0.9500405,0.00009836758,0.005444822,0.002532647,0.002748789,0.0214167],"study_design_scores_gemma":[0.000006141268,0.0001956756,0.006207402,0.0001643795,0.00001163643,0.001112846,0.9665227,0.0001288787,0.00132764,0.0003072601,0.02398188,0.00003358995],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836277,0.001490106,0.001053064,0.005045422,0.000227964,0.00004650649,0.0000268378,0.00002620053,0.00845611],"genre_scores_gemma":[0.9931256,0.001198459,0.0005330834,0.0009550079,0.00007813327,0.00002940487,0.00001445027,0.00001094012,0.004054942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006365509,"threshold_uncertainty_score":0.03366441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007075863335130633,"score_gpt":0.2333166793727779,"score_spread":0.2262408160376473,"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."}}