{"id":"W2995233840","doi":"10.71781/5611","title":"The effectiveness of written corrective feedback on French as a second language accuracy","year":2019,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Educational Methods and Teacher Development","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corrective feedback; Linguistics; Computer science; Natural language processing; Psychology; Mathematics education; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004909569,0.0009746337,0.0006649928,0.0006790548,0.0004806041,0.002595495,0.0008620807,0.001352449,0.003680652],"category_scores_gemma":[0.06399313,0.0003909257,0.0003504415,0.0004460145,0.0007759213,0.001064265,0.0007388858,0.0007688419,0.0004412256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001325272,"about_ca_system_score_gemma":0.00128535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123856,"about_ca_topic_score_gemma":0.009426685,"domain_scores_codex":[0.9928577,0.003667498,0.0003573493,0.001194139,0.001647095,0.0002762494],"domain_scores_gemma":[0.903136,0.07800778,0.01072055,0.002748619,0.00384188,0.001545128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0317931,0.0117788,0.1348093,0.003064893,0.0009624038,0.0005420542,0.06556404,0.006543572,0.115577,0.001718907,0.002650276,0.6249956],"study_design_scores_gemma":[0.003050304,0.0461237,0.8926935,0.0006920943,0.001119776,0.0003515042,0.007246818,0.009811952,0.02943987,0.001159751,0.007942831,0.0003679678],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994081,0.0002957233,0.0006391654,0.00007775338,0.000032647,0.0001195951,0.00008570214,0.00009806683,0.00457043],"genre_scores_gemma":[0.9935747,0.0001945644,0.002052038,0.00009196996,0.00002769766,0.0002558603,0.00009375672,0.00003657443,0.003672809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0123856,"threshold_uncertainty_score":0.02596462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02864283948919724,"score_gpt":0.3634943679161668,"score_spread":0.3348515284269696,"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."}}