{"id":"W2970676957","doi":"10.33137/twpl.v41i1.32770","title":"Mind your /ti/’s and q’s: A subsegmental approach to affrication in Québec French","year":2019,"lang":"en","type":"article","venue":"Toronto Working Papers in Linguistics","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Vowel; Voice; Linguistics; sort; Phase (matter); Contrast (vision); Representation (politics); Psychology; Mathematics; Audiology; Speech recognition; Physics; Philosophy; Computer science; Medicine; Artificial intelligence; Arithmetic; Quantum mechanics; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003479489,0.0001463128,0.000217702,0.0001001882,0.00003652861,0.00002562211,0.000217451,0.0001674478,0.0004048566],"category_scores_gemma":[0.0002427445,0.0001556151,0.00002309503,0.0001463878,0.0000583662,0.000007214728,0.00009272233,0.0002599099,0.00008462324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000366626,"about_ca_system_score_gemma":0.00006780043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04191278,"about_ca_topic_score_gemma":0.05559697,"domain_scores_codex":[0.9986641,0.00009038967,0.0002595126,0.0004311079,0.0001449642,0.0004098827],"domain_scores_gemma":[0.9993516,0.0001555804,0.00004988049,0.0003199124,0.0000270921,0.00009592039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002102361,0.0006540787,0.8373393,0.00003738766,0.00005810101,0.00002828313,0.122368,0.0001288027,0.001257897,0.003630125,0.0007406882,0.03354704],"study_design_scores_gemma":[0.001668108,0.000259941,0.8987271,0.0001101608,0.00001441407,0.000009940976,0.006548707,0.0008002305,0.00002924987,0.0001679748,0.09121525,0.0004488807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5523969,0.001503547,0.00001181688,0.00005749377,0.000936226,0.0003715098,0.000004084176,0.00001296233,0.4447055],"genre_scores_gemma":[0.9943457,0.00003426402,0.002349074,0.0000936443,0.0002360382,0.00004714879,0.00001093486,0.00002130339,0.002861952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4419487,"threshold_uncertainty_score":0.9644672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03179807076820288,"score_gpt":0.32044408433045,"score_spread":0.2886460135622471,"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."}}