{"id":"W1978004672","doi":"10.1177/0033688207079692","title":"Language Errors in the Genre-based Writing of Advanced Academic ESL Students","year":2007,"lang":"en","type":"article","venue":"RELC Journal","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fluency; Grammar; Task (project management); Computer science; Test (biology); Second-language acquisition; Academic writing; Linguistics; Second language writing; Psychology; Mathematics education; Second language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001575541,0.0004563165,0.0004886225,0.002159273,0.0005001201,0.001367469,0.0003991807,0.0005563054,0.001947066],"category_scores_gemma":[0.02377432,0.0002059994,0.000212423,0.0009517278,0.001061333,0.0006602823,0.0009257892,0.0007754793,0.0007248247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004175128,"about_ca_system_score_gemma":0.0004439504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002086465,"about_ca_topic_score_gemma":0.00245381,"domain_scores_codex":[0.9980792,0.000397627,0.0003606253,0.0001946429,0.0007818558,0.000186151],"domain_scores_gemma":[0.9773696,0.009722369,0.007896651,0.0009192115,0.003090811,0.001001245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003842548,0.0004489824,0.8616906,0.0001428949,0.00003728453,0.004325006,0.0556506,0.0001873827,0.01153496,0.0002169777,0.0004313038,0.06494973],"study_design_scores_gemma":[0.00003054929,0.0009825391,0.9366475,0.0001067626,0.00004760797,0.009725061,0.04026641,0.001339689,0.007595346,0.0005989645,0.002596334,0.00006324257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994998,0.00004346884,0.00009088301,0.00002059854,0.000003552649,0.000005123407,0.00001601593,0.000005952219,0.0003145076],"genre_scores_gemma":[0.9979772,0.00008144086,0.000354641,0.0000348331,0.000005328935,0.000007377885,0.00004971538,0.00000994228,0.001479492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002159273,"threshold_uncertainty_score":0.008332372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019234486835747,"score_gpt":0.4008138324104312,"score_spread":0.3815793455746842,"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."}}