{"id":"W2543939252","doi":"","title":"{null=Chapter 4. Prosody in turn organization, en=Chapter 4. Prosody in turn organization}","year":2014,"lang":"en","type":"article","venue":"","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Prosody; Turn (biochemistry); Linguistics; Philosophy; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003794883,0.0002147136,0.0002140904,0.0002672135,0.0000754934,0.0003969502,0.001295397,0.0001129069,0.0006854365],"category_scores_gemma":[0.0003992363,0.0001917896,0.00002498786,0.001256848,0.00004581925,0.001033437,0.0005714027,0.0002185278,0.0005582689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005687405,"about_ca_system_score_gemma":0.00004404448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006973938,"about_ca_topic_score_gemma":0.0004203748,"domain_scores_codex":[0.9984229,0.00009625154,0.0004711063,0.0004428794,0.000282539,0.0002843349],"domain_scores_gemma":[0.9983462,0.00009019252,0.0001133959,0.001064607,0.0002830851,0.0001025268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000003222931,0.0002469397,0.05217259,0.00001993555,0.000007653462,0.000007896847,0.004474801,0.0001141677,0.001711907,0.9328899,0.000206966,0.008143974],"study_design_scores_gemma":[0.01083841,0.0008022524,0.5716133,0.0006522141,0.00003475195,0.0002771259,0.001959448,0.08176666,0.07743988,0.0462802,0.202386,0.005949734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2727782,0.0001806393,0.313033,0.01958739,0.0004379931,0.001872099,0.000007758667,0.001570278,0.3905326],"genre_scores_gemma":[0.9886867,0.00001500595,0.006395052,0.002232512,0.00002823909,0.00000930034,0.00003257129,0.0000371572,0.002563468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8866097,"threshold_uncertainty_score":0.7820955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004133287461952411,"score_gpt":0.1951049020212766,"score_spread":0.1909716145593242,"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."}}