{"id":"W3004011153","doi":"10.3968/11475","title":"Cohesive Devices in Business English Speaking and Listening Discourse","year":2019,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Active listening; Business English; Key (lock); Psychology; Business communication; Public relations; Computer science; Political science; Pedagogy; Communication","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":[0.005213224,0.0004500508,0.0002953995,0.003004494,0.004383448,0.008993092,0.0007449094,0.001187052,0.003619632],"category_scores_gemma":[0.01134562,0.0002978057,0.0002173665,0.001760612,0.01628446,0.008637541,0.00689141,0.00210641,0.000389309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001325316,"about_ca_system_score_gemma":0.001235297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00126217,"about_ca_topic_score_gemma":0.001712038,"domain_scores_codex":[0.9926171,0.005051056,0.0003354489,0.0004208078,0.001155109,0.0004205079],"domain_scores_gemma":[0.9871482,0.009113343,0.001806362,0.0006231796,0.000638463,0.0006704366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006348357,0.00005603078,0.00594049,0.0001922479,0.00001471513,0.0004789117,0.8596506,0.00008881033,0.002642401,0.1066971,0.0003906254,0.02378462],"study_design_scores_gemma":[0.00002811598,0.0001556691,0.02235365,0.0005595215,0.00003712392,0.0007183437,0.8885005,0.000666141,0.001982708,0.04372703,0.04120379,0.00006752563],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8212445,0.002588889,0.01641639,0.003557025,0.0001386178,0.00008340777,0.00003212729,0.00006528551,0.1558738],"genre_scores_gemma":[0.9971488,0.000244173,0.0008655239,0.00008328255,0.00002824263,0.00001868082,0.00001006718,0.00001348204,0.001587765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008993092,"threshold_uncertainty_score":0.02757055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408843945561134,"score_gpt":0.2903907285941533,"score_spread":0.276302289138542,"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."}}