{"id":"W2899326640","doi":"10.7939/r3wm14874","title":"Speech Prosody of New vs. Shared Information in Canadian English","year":2018,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Prosody; Psychology; Linguistics; Speech recognition; Communication; Computer science; Audiology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000605036,0.000338173,0.0002736194,0.0009875905,0.001916659,0.002322155,0.000383117,0.0005893313,0.004564981],"category_scores_gemma":[0.00542496,0.0001960439,0.0001327411,0.001089832,0.00078574,0.0005810878,0.0007501391,0.0008724524,0.0006564851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007137712,"about_ca_system_score_gemma":0.00526402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8694144,"about_ca_topic_score_gemma":0.9151807,"domain_scores_codex":[0.9992859,0.0001097987,0.00002243782,0.0001012961,0.0003466524,0.0001340139],"domain_scores_gemma":[0.9966549,0.001377792,0.0001983505,0.00007141385,0.001393219,0.0003043798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.006065946,0.0001661926,0.1027962,0.001172724,0.0001655303,0.003128681,0.4061089,0.001332091,0.3562973,0.009220751,0.0182065,0.09533908],"study_design_scores_gemma":[0.00006399641,0.000196891,0.8354129,0.0002726512,0.0002339666,0.001205465,0.1104758,0.002608676,0.01359835,0.000358258,0.03534896,0.0002240303],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712279,0.0004746678,0.0002415195,0.0002306029,0.00004183318,0.00002048908,0.0009624526,0.00003577407,0.02676487],"genre_scores_gemma":[0.9952155,0.0002490288,0.0001925355,0.00007095228,0.00001172407,0.00000866843,0.0003562294,0.00004408696,0.003851182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1305856,"threshold_uncertainty_score":0.2627091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007508752249792301,"score_gpt":0.1572983540708988,"score_spread":0.1497896018211065,"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."}}