{"id":"W2945496028","doi":"10.5539/elt.v12n6p146","title":"A Sage on a Stage, to Express and Impress: TED Talks for Improving Oral Presentation Skills, Vocabulary Retention and Its Impact on Reducing Speaking Anxiety in ESP Settings","year":2019,"lang":"en","type":"article","venue":"English Language Teaching","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Vocabulary; Presentation (obstetrics); Business English; Anxiety; Business education; Public speaking; Vocabulary development; Medical education; Mathematics education; Pedagogy; Teaching method; Higher education; Linguistics; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001511963,0.0002811028,0.0002952504,0.0003081569,0.0004095946,0.0005337877,0.0001199311,0.00008713219,0.00007281758],"category_scores_gemma":[0.001038024,0.0002482532,0.00007806099,0.00004399467,0.00002022661,0.0006420243,0.00009236039,0.0008241476,0.000003235802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001079705,"about_ca_system_score_gemma":0.00001555736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001816347,"about_ca_topic_score_gemma":0.0001617789,"domain_scores_codex":[0.9981627,0.000313646,0.0003066237,0.0005655214,0.0002242219,0.0004272226],"domain_scores_gemma":[0.9991223,0.0003360854,0.000182813,0.0002235505,0.00003372914,0.0001015044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002176767,0.0001087929,0.002997538,0.000423134,0.00003722956,0.00001352376,0.892696,0.001741666,0.02742808,0.001069161,0.00007260744,0.07319457],"study_design_scores_gemma":[0.01181119,0.004277829,0.02235065,0.008912345,0.0002438734,0.00002447308,0.8198994,0.1052408,0.009616784,0.0001127914,0.01389075,0.003619107],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955655,0.0003205827,0.0001314037,0.00004412028,0.0002976877,0.000856131,0.00004391609,0.0002033445,0.002537281],"genre_scores_gemma":[0.996556,0.000003562382,0.0005666406,0.0001734201,0.0005638565,0.00003863724,0.00006683648,0.00006686365,0.001964131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1034991,"threshold_uncertainty_score":0.999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009593749958744228,"score_gpt":0.2772227786181788,"score_spread":0.2676290286594346,"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."}}