{"id":"W3101209857","doi":"10.1016/j.langcom.2020.09.005","title":"Taking a detour before answering the question: Turn-initial okay in second position in English interaction","year":2020,"lang":"en","type":"article","venue":"Language & Communication","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Conversation; Turn-taking; Context (archaeology); Position (finance); Unit (ring theory); Linguistics; Conversation analysis; Variety (cybernetics); Transition (genetics); Question answering; Computer science; Psychology; Sociology; Communication; Mathematics education; Artificial intelligence; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004980336,0.000850054,0.0007350865,0.000715329,0.007606608,0.007694734,0.001777835,0.005397013,0.02624771],"category_scores_gemma":[0.0397639,0.001085926,0.0006415332,0.0004288169,0.003969974,0.01036455,0.006507428,0.007484118,0.006375482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002931931,"about_ca_system_score_gemma":0.003062451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02338396,"about_ca_topic_score_gemma":0.02438157,"domain_scores_codex":[0.9930387,0.003642993,0.0001678088,0.0009221484,0.001000799,0.00122748],"domain_scores_gemma":[0.976658,0.01709169,0.0009939044,0.001057082,0.002202223,0.001997169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001658528,0.0003682387,0.01685724,0.0002920413,0.00003504791,0.002874134,0.8972788,0.0002765595,0.01789091,0.03246555,0.008882445,0.02112042],"study_design_scores_gemma":[0.0001863148,0.0007530473,0.02627007,0.0006309395,0.0001543525,0.002061805,0.8443932,0.006261074,0.009687711,0.02566091,0.0836905,0.0002501112],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6814526,0.0005257226,0.01662632,0.005085102,0.0005949868,0.0002619084,0.0002462698,0.0006601961,0.2945469],"genre_scores_gemma":[0.9823275,0.00007216117,0.003043261,0.0005444681,0.00004461835,0.00009255407,0.0002085674,0.0003112768,0.01335567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02624771,"threshold_uncertainty_score":0.08780736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03741345201777656,"score_gpt":0.3235420657384359,"score_spread":0.2861286137206593,"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."}}