{"id":"W4252613667","doi":"10.1093/acrefore/9780199384655.013.40","title":"Conversation Analysis","year":2016,"lang":"en","type":"reference-entry","venue":"Oxford Research Encyclopedia of Linguistics","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Conversation analysis; Conversation; Ascription; Action (physics); Normative; Everyday life; Ethnomethodology; Linguistics; Discourse analysis; Social relation; Psychology; Sociology; Cognitive science; Communication; Social psychology; Epistemology; Social science; Philosophy","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":[0.005276364,0.000891706,0.0005583751,0.008131336,0.003445105,0.005896385,0.001633358,0.0008759158,0.08774623],"category_scores_gemma":[0.01836255,0.0002768512,0.0006980471,0.006027111,0.001169053,0.003878634,0.004024205,0.001225381,0.0242123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003263577,"about_ca_system_score_gemma":0.003314966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00566692,"about_ca_topic_score_gemma":0.003963981,"domain_scores_codex":[0.9905253,0.004007574,0.0007407252,0.001637519,0.002626492,0.0004624158],"domain_scores_gemma":[0.9890398,0.00455373,0.0003825032,0.001371434,0.004294917,0.0003576502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004115355,0.0001636204,0.004647572,0.001435467,0.00005352567,0.0005727271,0.06458211,0.001099228,0.006238319,0.144583,0.1749669,0.6012462],"study_design_scores_gemma":[0.00002016712,0.00005323725,0.002962372,0.0005526014,0.00003202182,0.0002941327,0.01943184,0.004103982,0.005073624,0.02725906,0.9401584,0.00005855729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04533475,0.001599357,0.2165137,0.003778304,0.001502625,0.005315422,0.03377355,0.00630127,0.685881],"genre_scores_gemma":[0.4038153,0.001583118,0.2210987,0.001190036,0.0004659292,0.005335014,0.04211899,0.00281217,0.3215807],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08774623,"threshold_uncertainty_score":0.2935404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1098410395284796,"score_gpt":0.3806144065938022,"score_spread":0.2707733670653226,"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."}}