{"id":"W1710415399","doi":"","title":"Negative Transfer of Chinese in English Learners' Lexical Learning: A Markedness Theory Perspective","year":2013,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Markedness; Linguistics; Negative transfer; Perspective (graphical); Psychology; Communicative competence; Competence (human resources); Computer science; Artificial intelligence; Philosophy; First language; Social psychology","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":[0.001359903,0.0003459621,0.000215255,0.0007142595,0.0006308291,0.001426645,0.0005337422,0.0005915113,0.00188657],"category_scores_gemma":[0.004157292,0.0001897324,0.0001883235,0.0003073505,0.003965542,0.002147508,0.001798074,0.001279104,0.00009476342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186032,"about_ca_system_score_gemma":0.001094122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001808335,"about_ca_topic_score_gemma":0.001235047,"domain_scores_codex":[0.9991133,0.0002555689,0.00003852552,0.0001421722,0.0003353068,0.0001152574],"domain_scores_gemma":[0.9978114,0.001280435,0.0002968633,0.000160716,0.0002709648,0.0001796076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005823338,0.001121612,0.1008369,0.0005627886,0.0001175721,0.004263683,0.1106601,0.003908052,0.08069649,0.5418647,0.00112278,0.154263],"study_design_scores_gemma":[0.0001697743,0.001571698,0.2854888,0.0002867289,0.0002768963,0.003591367,0.05133738,0.02762189,0.05149911,0.5662745,0.01169096,0.0001908879],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935009,0.0002941834,0.00890152,0.001268371,0.00003315658,0.00003177956,0.00001442156,0.00002730342,0.05442033],"genre_scores_gemma":[0.9984171,0.00006978441,0.0004395097,0.0000466223,0.000005947517,0.000009969264,0.000003524151,0.000003655922,0.001003783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00188657,"threshold_uncertainty_score":0.008605301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009115190939329198,"score_gpt":0.3277562611554279,"score_spread":0.3186410702160987,"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."}}