{"id":"W4406745274","doi":"","title":"Application of Rhythm Metrics to Toronto Haitian English","year":2021,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Rhythm; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006581948,0.000307492,0.0001807925,0.001621534,0.0006931894,0.001497176,0.000229426,0.0001966779,0.00524469],"category_scores_gemma":[0.004229283,0.0001190346,0.0001745468,0.002235642,0.0002298361,0.0003988371,0.0004699164,0.0002652482,0.001031299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651741,"about_ca_system_score_gemma":0.001143189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2975566,"about_ca_topic_score_gemma":0.3865486,"domain_scores_codex":[0.9997213,0.0001028957,0.00002023872,0.00005953785,0.00005972597,0.00003625629],"domain_scores_gemma":[0.9980679,0.0007630795,0.00008837786,0.0001060763,0.0008384899,0.0001361435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001294446,0.0001526877,0.2153882,0.0004426616,0.0001527495,0.0008480957,0.0109062,0.01654386,0.03767033,0.004558816,0.01618584,0.6958562],"study_design_scores_gemma":[0.00006620049,0.0002565095,0.8295148,0.0001080402,0.0001029655,0.0003941829,0.01330366,0.1170543,0.0114722,0.002130033,0.0255223,0.00007476151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430995,0.0003020872,0.02390289,0.0002318453,0.00006171686,0.0001210678,0.004546589,0.0006962263,0.02703801],"genre_scores_gemma":[0.9823222,0.0001869141,0.01019889,0.00001170625,0.00001254873,0.00003708628,0.002458831,0.0001180688,0.004653881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7024434,"threshold_uncertainty_score":0.5916493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844472155455197,"score_gpt":0.293661125982422,"score_spread":0.27521640442787,"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."}}