{"id":"W3109680550","doi":"10.5539/ijel.v11n1p125","title":"Investigating Nonnative TEFL Students’ Self-Regulation in an Online Learning Environment","year":2020,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Educational Innovations and Technology","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Majmaah University","keywords":"Psychology; Focus group; Mathematics education; Medical education; Coping (psychology); Online learning; Coronavirus disease 2019 (COVID-19); Computer-assisted web interviewing; Pedagogy; Sociology; Computer science; Multimedia; Business; Medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0003426413,0.00009570904,0.0001328692,0.0002650591,0.00004135497,0.0001277178,0.001067063,0.00005962333,0.00001636484],"category_scores_gemma":[0.01810068,0.00009901223,0.00003435725,0.0002713871,0.00003573939,0.0002413086,0.0001901142,0.0004560193,0.000003228751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001582047,"about_ca_system_score_gemma":0.0001132623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003403868,"about_ca_topic_score_gemma":0.000002696746,"domain_scores_codex":[0.9984861,0.00006349482,0.0005758924,0.0001659628,0.0006006815,0.0001078885],"domain_scores_gemma":[0.9933484,0.0001389893,0.0004896132,0.00009769607,0.005840977,0.00008437806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002359521,0.001941559,0.4687858,0.00001864036,0.000290094,0.00008358218,0.027703,0.07818271,0.0006161752,0.4100405,0.0008631112,0.01145125],"study_design_scores_gemma":[0.0040871,0.001750447,0.3880091,0.0002617858,0.00005668143,0.0000165596,0.00528262,0.2774412,0.002691115,0.04104885,0.2784252,0.0009294011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9073821,0.00007508899,0.08286215,0.001824721,0.006097526,0.0001321896,0.000008789044,0.0001309033,0.001486538],"genre_scores_gemma":[0.889187,0.00001630474,0.1070212,0.0004200498,0.00332262,0.000001394337,0.0000159177,0.000007671739,0.00000782454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3689917,"threshold_uncertainty_score":0.9901703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0366466853052753,"score_gpt":0.3149601895790617,"score_spread":0.2783135042737864,"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."}}