{"id":"W3216900385","doi":"10.23977/aetp.2021.59001","title":"The Influence of Teachers' Corrective Feedback on the Accuracy of English Writing","year":2021,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corrective feedback; Mathematics education; Sample (material); Class (philosophy); Computer science; Control (management); Psychology; Feedback control; Engineering; Artificial intelligence; Control engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0003753531,0.00008371155,0.0001250048,0.0001677186,0.0001489228,0.000007172842,0.0007091025,0.0001353489,0.000008867691],"category_scores_gemma":[0.002800416,0.00005883241,0.00002099902,0.0009741493,0.0008513065,0.0001805749,0.0001183043,0.0004035384,0.000002273435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001810485,"about_ca_system_score_gemma":0.0001931323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001380609,"about_ca_topic_score_gemma":0.00001297466,"domain_scores_codex":[0.9990951,0.0001038647,0.0002766612,0.000277253,0.00009209555,0.0001550606],"domain_scores_gemma":[0.9959351,0.002998836,0.0002112288,0.0004802024,0.0003622012,0.00001247349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005493699,0.0001625494,0.04591169,0.000003979838,0.00001192182,4.559304e-7,0.0007594941,0.00004534466,0.0002369972,0.9290347,0.0001775547,0.02364983],"study_design_scores_gemma":[0.0001782535,0.00008823143,0.2709689,0.00006130871,0.000002874006,0.00002493104,0.002800182,0.00001197485,0.003090563,0.7094197,0.01327138,0.00008174159],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9295235,0.004757038,0.0007541804,0.05943379,0.0008067093,0.0001175591,0.000002179892,0.00002725981,0.004577774],"genre_scores_gemma":[0.9940816,0.001602878,0.003568596,0.0005592714,0.00003164551,0.00008365113,0.000001285642,0.000002676202,0.00006843977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2250572,"threshold_uncertainty_score":0.3352562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119993501742944,"score_gpt":0.3549837724623994,"score_spread":0.3437838374449699,"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."}}