{"id":"W2001629252","doi":"10.5539/ies.v2n2p59","title":"Policies for Teachers towards Errors in College English Writing","year":2009,"lang":"en","type":"article","venue":"International Education Studies","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Grammar; Competence (human resources); Psychology; Linguistic competence; Mathematics education; Corrective feedback; Teaching method; Language acquisition; Pedagogy; Linguistics","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":[0.06884136,0.0007081186,0.0006384414,0.005068037,0.009196318,0.01085648,0.004166363,0.01065362,0.01528878],"category_scores_gemma":[0.2568495,0.001274783,0.0006893054,0.001883607,0.005933114,0.009427157,0.01067215,0.008323395,0.008431471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007116441,"about_ca_system_score_gemma":0.04190695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01552395,"about_ca_topic_score_gemma":0.009938676,"domain_scores_codex":[0.9131199,0.02662772,0.01320186,0.006739803,0.03134669,0.008964056],"domain_scores_gemma":[0.6245128,0.1534794,0.04396771,0.04281053,0.1062159,0.02901369],"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":[0.0009413384,0.002458748,0.1308827,0.001020442,0.00006225526,0.002041013,0.06166573,0.005955141,0.01392239,0.1486591,0.2157869,0.4166043],"study_design_scores_gemma":[0.0007594072,0.001446908,0.1109019,0.00465148,0.000212782,0.003026965,0.049231,0.01882836,0.04514107,0.09129071,0.6736065,0.0009028781],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.35348,0.002793877,0.07855498,0.2048699,0.002955923,0.004447271,0.0004544719,0.009396184,0.3430475],"genre_scores_gemma":[0.7943392,0.0008647643,0.043518,0.02293611,0.0009291442,0.002905099,0.0003380462,0.0009838565,0.1331858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06884136,"threshold_uncertainty_score":0.3640723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09240686714711366,"score_gpt":0.3978278146655589,"score_spread":0.3054209475184452,"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."}}