{"id":"W3135499509","doi":"10.5430/wje.v11n1p86","title":"Exploring Factors for English Language Learners’ Language Competence","year":2021,"lang":"en","type":"article","venue":"World Journal of Education","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science Foundation of China University of Petroleum, Beijing; China University of Petroleum, Beijing","keywords":"Ell; Metacognition; Psychology; Self-efficacy; Competence (human resources); Mathematics education; Language proficiency; Cognition; Cognitive strategy; Set (abstract data type); English language; Linguistic competence; Teaching method; Vocabulary development; Social 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":[0.001243383,0.0003485552,0.000234157,0.001286928,0.0005705185,0.001439904,0.0002900358,0.0003625821,0.0029206],"category_scores_gemma":[0.006823884,0.0001601216,0.0004655029,0.0005370603,0.0005069431,0.0006459893,0.0008424284,0.00061189,0.0003686371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003599758,"about_ca_system_score_gemma":0.001066474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004842925,"about_ca_topic_score_gemma":0.008369373,"domain_scores_codex":[0.9992392,0.0001781467,0.00009724587,0.0001189851,0.0002243229,0.0001422196],"domain_scores_gemma":[0.993349,0.002871918,0.001636905,0.0002007179,0.0007266383,0.001214809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002533312,0.0002082544,0.9915058,0.00001869139,0.00002461424,0.0001367262,0.001384923,0.00003306439,0.0004517541,0.0001249511,0.00005647904,0.006029346],"study_design_scores_gemma":[0.000002038484,0.000103567,0.9958279,0.00002937004,0.00001992096,0.000113868,0.002991901,0.0001595282,0.0002327501,0.0001373456,0.0003744609,0.000007393206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981964,0.0001186369,0.0001131188,0.00004095148,0.000002994658,0.000007501923,0.00002805143,0.000002876987,0.001489524],"genre_scores_gemma":[0.9994177,0.00005864468,0.0001559322,0.000008378192,0.00000229688,0.000005761345,0.00003830024,0.000001358522,0.0003117649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004842925,"threshold_uncertainty_score":0.009770393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09774793764868865,"score_gpt":0.3005732962930512,"score_spread":0.2028253586443625,"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."}}