{"id":"W1912323811","doi":"","title":"Measuring rhythm in dialects of New Brunswick French: is there a role for intensity?","year":2014,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; University of New Brunswick","funders":"","keywords":"Rhythm; Duration (music); Intensity (physics); Linear discriminant analysis; Feature (linguistics); Speech recognition; Discriminant; Degree (music); Computer science; Artificial intelligence; Linguistics; Acoustics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001246033,0.000282696,0.0002650152,0.001186361,0.0008675891,0.001057487,0.000369482,0.0002796905,0.001772014],"category_scores_gemma":[0.002699025,0.0001044475,0.0001819945,0.0008598394,0.0007598574,0.000344076,0.0004366129,0.0003367078,0.0002776397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002861859,"about_ca_system_score_gemma":0.00138557,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5885884,"about_ca_topic_score_gemma":0.807905,"domain_scores_codex":[0.9993692,0.0002009469,0.00004378019,0.0001653811,0.00012681,0.00009398917],"domain_scores_gemma":[0.9986803,0.000356425,0.0001738206,0.00007064892,0.0005885594,0.0001301918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003829185,0.00005997296,0.8722354,0.0001136286,0.0001581958,0.0002107849,0.014739,0.0001924789,0.04449356,0.0007962245,0.000553176,0.06606468],"study_design_scores_gemma":[0.000003649928,0.00003380376,0.9939705,0.00001709924,0.00001587062,0.00007796958,0.003839582,0.00006073678,0.0006403707,0.00005599242,0.001271837,0.00001257363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99156,0.0009852524,0.001147905,0.0003387509,0.00003146406,0.00002006412,0.0002088864,0.00000816155,0.005699567],"genre_scores_gemma":[0.9952883,0.0005899336,0.00141623,0.0002435698,0.000009780496,0.00003161551,0.000225218,0.00001332405,0.002182026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4114116,"threshold_uncertainty_score":0.827669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05190977947971622,"score_gpt":0.286052796335766,"score_spread":0.2341430168560498,"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."}}