{"id":"W966325634","doi":"10.1017/cbo9780511635670","title":"Conversation Analysis","year":2009,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":264,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Conversation; Conversation analysis; Mandarin Chinese; Perspective (graphical); Gaze; Linguistics; Sociology; Psychology; Communication; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009785531,0.0002997577,0.0004481007,0.0004384853,0.0003388498,0.0002564035,0.0007166222,0.0001838858,0.0001182678],"category_scores_gemma":[0.000005840885,0.000332997,0.0003797986,0.00001626104,0.0004791961,0.0002097975,0.000159171,0.0003695966,0.00004860033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002755125,"about_ca_system_score_gemma":0.0002393401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000551676,"about_ca_topic_score_gemma":0.0001582297,"domain_scores_codex":[0.9988431,0.0001143129,0.0002016667,0.0003475123,0.0002757179,0.0002176925],"domain_scores_gemma":[0.9983405,0.00008066159,0.0003226465,0.0008970501,0.0002679094,0.00009121957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001713234,0.00001235017,8.163571e-7,0.00002295925,0.0007062998,0.00003177003,0.003171811,0.000005647536,7.40334e-7,0.7906314,0.2050936,0.0003054649],"study_design_scores_gemma":[0.0002826277,0.0000257092,0.00002132003,0.00003688632,0.002184537,8.961694e-7,0.00307008,0.00005809502,0.00001114519,0.0000388122,0.9938936,0.0003762992],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008121289,0.0002054656,0.0001101836,0.00004988433,0.0001179702,0.0002517003,0.0002897211,0.0002306331,0.9986632],"genre_scores_gemma":[0.007303273,0.00005964082,0.00002950998,0.0001250507,0.0002854525,7.973539e-7,0.0008084339,0.00002337763,0.9913645],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7905926,"threshold_uncertainty_score":0.9999122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03520068846565658,"score_gpt":0.2231995898843437,"score_spread":0.1879989014186872,"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."}}