{"id":"W2793356533","doi":"10.3968/10079","title":"An Analysis of Native Language Transfer in English Writing for Non-English Major Students","year":2017,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lexis; First language; Linguistics; Syntax; Contrastive analysis; Competence (human resources); Language assessment; Mathematics education; Computer science; Psychology; Error analysis; Communicative competence; Pedagogy; Artificial intelligence","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":[0.002720723,0.0002208002,0.0002279913,0.001392175,0.0006505641,0.0009326729,0.0004083231,0.0002567667,0.001894859],"category_scores_gemma":[0.01891086,0.0001179781,0.000369429,0.0007699027,0.0005550383,0.0006500906,0.0009354116,0.000412288,0.0003204275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005721936,"about_ca_system_score_gemma":0.0008654259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460488,"about_ca_topic_score_gemma":0.001619186,"domain_scores_codex":[0.9978236,0.0008585291,0.0002840602,0.0002046354,0.0006213887,0.0002077953],"domain_scores_gemma":[0.9804782,0.01136113,0.00292769,0.000946158,0.003327517,0.000959327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003659687,0.0008823897,0.8709847,0.0001608424,0.00005273758,0.0008002011,0.0540294,0.000126425,0.002790616,0.0003131183,0.0002508523,0.06924267],"study_design_scores_gemma":[0.000007337308,0.0006256544,0.9652805,0.00002572725,0.00002551905,0.0003403397,0.03089747,0.0004124346,0.001578713,0.000125522,0.0006681674,0.00001255574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991782,0.00002079286,0.0001072717,0.00001259659,0.000001718451,0.00001215637,0.00001457115,0.000002357275,0.0006503434],"genre_scores_gemma":[0.9993972,0.00001964367,0.0001029348,0.000005311299,0.00000165175,0.00001701604,0.00003189053,0.000001519503,0.0004227633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002720723,"threshold_uncertainty_score":0.01438874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728007633730052,"score_gpt":0.3338424248619079,"score_spread":0.3165623485246074,"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."}}