{"id":"W2017690777","doi":"10.5539/ijel.v2n1p135","title":"The Role of Error Types and Feedback in Iranian EFL Classrooms","year":2012,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corrective feedback; Repetition (rhetorical device); Computer science; Negotiation; Affect (linguistics); Psychology; Rank (graph theory); Error detection and correction; Control (management); Peer feedback; Linguistics; Mathematics education; Communication; Mathematics; Artificial intelligence; Algorithm","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":[0.005703579,0.0005685702,0.0006336307,0.003555951,0.0009545762,0.001862341,0.0008894407,0.001047053,0.00104585],"category_scores_gemma":[0.04635132,0.0003708151,0.0002442319,0.001093394,0.001497885,0.001125033,0.001750806,0.0007160782,0.0002417866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168267,"about_ca_system_score_gemma":0.00157332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006954642,"about_ca_topic_score_gemma":0.007656141,"domain_scores_codex":[0.9896235,0.003134553,0.001058219,0.001122182,0.004270412,0.0007912091],"domain_scores_gemma":[0.9465476,0.02787683,0.01466153,0.001531535,0.007524318,0.001858215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005224592,0.0002687635,0.8059456,0.0002192154,0.00003403039,0.0009903674,0.06373999,0.000252812,0.004580721,0.0001711997,0.0002470748,0.1230276],"study_design_scores_gemma":[0.000009410731,0.0003153692,0.9528018,0.0001462556,0.00003363552,0.001511229,0.04106006,0.0006784122,0.001937094,0.0002281965,0.001238071,0.00004056345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985334,0.0002893319,0.0003007807,0.0001195267,0.000007310132,0.000009208155,0.00002493787,0.00002358988,0.000692018],"genre_scores_gemma":[0.9990656,0.0001389066,0.0003745877,0.00002801842,0.000007364746,0.00001076002,0.0000246391,0.00001193975,0.0003382932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006954642,"threshold_uncertainty_score":0.03016376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370375284249307,"score_gpt":0.2759263091604065,"score_spread":0.2522225563179134,"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."}}