{"id":"W1739354588","doi":"","title":"Speaking Fluency: Technology in EFL Context or Social Interaction in ESL Context?","year":2011,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fluency; Context (archaeology); Psychology; Test (biology); Social environment; Context effect; Social media; Linguistics; Mathematics education; Computer science; Sociology; World Wide Web","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":[0.001064433,0.0003607245,0.0003302544,0.000709764,0.0007629417,0.0025033,0.0002491213,0.0005480502,0.0040589],"category_scores_gemma":[0.004924492,0.0001075265,0.0002686408,0.0003963943,0.001401151,0.001329707,0.00115784,0.0005274113,0.0004302069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004606272,"about_ca_system_score_gemma":0.0004133323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008525911,"about_ca_topic_score_gemma":0.001286065,"domain_scores_codex":[0.9985026,0.000689455,0.0001080364,0.0001453777,0.0003569682,0.0001975469],"domain_scores_gemma":[0.9961862,0.001950252,0.0009065841,0.0001243846,0.000277206,0.000555479],"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":[0.0007760702,0.001510678,0.516502,0.001358239,0.0001761817,0.005285644,0.1491088,0.0002458737,0.03703321,0.00420605,0.00157958,0.2822177],"study_design_scores_gemma":[0.00003736982,0.001057584,0.8305175,0.000336144,0.0001957042,0.003448384,0.1437164,0.0005042507,0.007378562,0.00219206,0.01054111,0.00007496962],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877792,0.0005463567,0.0006202589,0.0003530907,0.0000309879,0.00001480925,0.00002373321,0.00001611862,0.01061547],"genre_scores_gemma":[0.9986612,0.0002029955,0.0002744958,0.00006461296,0.0000185104,0.00001158232,0.00001214716,0.000003357891,0.0007512158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0040589,"threshold_uncertainty_score":0.01357836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06321538384286834,"score_gpt":0.3291911148962264,"score_spread":0.265975731053358,"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."}}