{"id":"W2146466838","doi":"10.5539/elt.v7n2p110","title":"Developing Accuracy and Fluency in Spoken English of Chinese EFL Learners","year":2014,"lang":"en","type":"article","venue":"English Language Teaching","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Education, Nanyang Technological University; Nanyang Technological University","keywords":"Fluency; Psychology; Competence (human resources); Linguistics; Cognition; Language proficiency; Communicative competence; Mathematics education; Pedagogy; 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":[0.000827488,0.0002655977,0.0002377318,0.0006877548,0.0003920799,0.001007724,0.0002274371,0.0002721767,0.001594371],"category_scores_gemma":[0.003530593,0.0001212853,0.0001678138,0.0002848559,0.0004292318,0.0006576897,0.0004130589,0.0002858889,0.0002780076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004400329,"about_ca_system_score_gemma":0.0006233158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01966124,"about_ca_topic_score_gemma":0.01213169,"domain_scores_codex":[0.9996108,0.000060372,0.00005809762,0.00006706877,0.0001121967,0.00009139438],"domain_scores_gemma":[0.9985139,0.0005269885,0.0002482348,0.00006450075,0.0004410723,0.0002054178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002356475,0.0003321656,0.9003205,0.0001015532,0.00003306709,0.0005998322,0.03170766,0.0002756723,0.01360898,0.0002429428,0.000239622,0.05230234],"study_design_scores_gemma":[0.000008229785,0.0002755437,0.9885116,0.00001719558,0.00002923213,0.0003187593,0.007326669,0.0007593795,0.002261394,0.0001441158,0.0003269056,0.00002103246],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.99924,0.0000218931,0.00005469198,0.000008047949,0.000001182737,0.0000036151,0.00001326855,0.000001535937,0.0006555838],"genre_scores_gemma":[0.9993007,0.00002678689,0.0001057299,0.000007036924,0.000001133956,0.000007222435,0.00002932401,0.000001215837,0.0005206937],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01966124,"threshold_uncertainty_score":0.03909361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216738185891214,"score_gpt":0.2601699541391697,"score_spread":0.2480025722802576,"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."}}