{"id":"W2185276752","doi":"10.21248/zaspil.52.2010.386","title":"Some properties of prosodic phrasing in Thompson Salish","year":2010,"lang":"en","type":"article","venue":"ZAS Papers in Linguistics","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Deutscher Akademischer Austauschdienst; Whatcom Museum","keywords":"Linguistics; Noun phrase; Stress (linguistics); Consonant; Stress (linguistics); Phrase; Computer science; Consonant cluster; Obstruent; Focus (optics); Pitch accent; Parsing; Speech recognition; Natural language processing; Artificial intelligence; Psychology; Noun; Prosody; Vowel","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004579277,0.0001188593,0.000237099,0.0002042528,0.00003330026,0.00001441315,0.0002690238,0.0002341874,0.0001909081],"category_scores_gemma":[0.002129048,0.0001095046,0.00003338606,0.0002147557,0.0003353663,0.000009660173,0.00006918022,0.0007583835,0.00002672848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002173777,"about_ca_system_score_gemma":0.00008496865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004191303,"about_ca_topic_score_gemma":0.0005780939,"domain_scores_codex":[0.9987848,0.00008764744,0.000341923,0.0002512426,0.0001538267,0.0003805283],"domain_scores_gemma":[0.9993336,0.000110973,0.00007223369,0.000343037,0.00008742484,0.00005271761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005313696,0.00126363,0.3119012,0.0002678845,0.00006782014,0.0002404631,0.04204984,0.00004480453,0.5483983,0.08615644,0.0005241208,0.008554134],"study_design_scores_gemma":[0.006446413,0.0009537034,0.8388546,0.0007770593,0.00005810225,0.0000539709,0.004334514,0.001291767,0.0589563,0.03174744,0.05504983,0.001476376],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9331006,0.0005009269,4.030242e-7,0.00007799881,0.002941797,0.0002038943,0.00000727138,0.00001935843,0.06314772],"genre_scores_gemma":[0.9982063,0.00004478271,0.0004794904,0.00007746647,0.000603677,0.00002239355,0.000003494064,0.00002236222,0.0005400312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5269533,"threshold_uncertainty_score":0.4465469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03350729593097315,"score_gpt":0.3362355929107695,"score_spread":0.3027282969797964,"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."}}