{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00243547,0.0002775489,0.0002561568,0.0006092315,0.0002739047,0.0008568902,0.0002516597,0.0002786009,0.0008297307],"category_scores_gemma":[0.05943796,0.0001344109,0.000205701,0.0002535878,0.0003963518,0.0003907337,0.0003375342,0.0004170806,0.0001753388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003512656,"about_ca_system_score_gemma":0.0006786945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002735617,"about_ca_topic_score_gemma":0.002850808,"domain_scores_codex":[0.9937357,0.002938255,0.0004407612,0.0004436289,0.002141657,0.0002999502],"domain_scores_gemma":[0.9223546,0.05428947,0.01077549,0.002154419,0.008182081,0.002243852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001684088,0.0007867329,0.759576,0.0003151244,0.0001631959,0.000804436,0.01240422,0.0008790134,0.02434563,0.0001333344,0.0005627266,0.1983455],"study_design_scores_gemma":[0.00003265169,0.001013113,0.988426,0.00004115761,0.00008979255,0.0003542363,0.002436089,0.00142566,0.005353724,0.00007492852,0.0007296836,0.00002295783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981748,0.0001901253,0.0004629779,0.00005051098,0.00001029279,0.0000100261,0.00001153207,0.000019924,0.00106971],"genre_scores_gemma":[0.9994236,0.00007280779,0.0002643975,0.000008103892,0.000005675748,0.000004445223,0.000009444449,0.000004996388,0.0002065597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002735617,"threshold_uncertainty_score":0.01288021,"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."}}