{"id":"W2503624539","doi":"10.1017/s0142716415000545","title":"Speech rates converge in scripted turn-taking conversations","year":2015,"lang":"en","type":"article","venue":"Applied Psycholinguistics","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Concordia University; McGill University","funders":"Canada Research Chairs","keywords":"Beat (acoustics); Psychology; Conversation; Turn-taking; Communication; Speech recognition; Interval (graph theory); Audiology; Acoustics; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006952562,0.0002210957,0.000298057,0.0003041733,0.00007575769,0.00005010446,0.0004038237,0.0002740904,0.001021781],"category_scores_gemma":[0.0004511854,0.0002388756,0.00004329102,0.0005837125,0.0002232454,0.00001554476,0.00006929491,0.0006282441,0.002159869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008315701,"about_ca_system_score_gemma":0.0001135427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005017864,"about_ca_topic_score_gemma":0.0001183063,"domain_scores_codex":[0.9980565,0.00009766502,0.0004465275,0.0004878532,0.000274862,0.0006366446],"domain_scores_gemma":[0.9985232,0.0002019449,0.0001681503,0.0006108658,0.0002326295,0.000263243],"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":[0.003230489,0.002887948,0.1257835,0.00008686802,0.0006719511,0.001269206,0.09712955,0.0001511761,0.006697937,0.4364964,0.310452,0.01514294],"study_design_scores_gemma":[0.02412798,0.0007092544,0.3315916,0.0000992238,0.0001521371,0.0002145565,0.01072073,0.002113501,0.002512931,0.1569472,0.4683455,0.002465461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4810657,0.0003582656,0.0005434763,0.000335363,0.006683963,0.0005323128,0.00004112324,0.0001281486,0.5103116],"genre_scores_gemma":[0.9958285,0.00001818366,0.001152648,0.0008126862,0.0006112911,0.00007117441,0.00005864183,0.00004485542,0.001402023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5147628,"threshold_uncertainty_score":0.9998914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1279358175816041,"score_gpt":0.4138093062131452,"score_spread":0.2858734886315411,"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."}}