{"id":"W2921755077","doi":"10.20381/ruor-22216","title":"Spoken Word Recognition in Native and Second Language Canadian French: Phonetic Detail and Representation of Vowel Nasalization","year":2018,"lang":"en","type":"dissertation","venue":"uO Research (University of Ottawa)","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nasalization; Vowel; Linguistics; Nasal vowel; Spoken language; Representation (politics); Speech recognition; Word (group theory); Phonetics; Computer science; Natural language processing; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008855581,0.0001339131,0.000313328,0.001907503,0.0001634017,0.00001773528,0.0002546652,0.000433828,0.002975682],"category_scores_gemma":[0.0002082595,0.0001770763,0.00003746161,0.0008360029,0.0004987851,0.0001154144,0.00006197891,0.0005546625,0.00003805989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001048294,"about_ca_system_score_gemma":0.0002946641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1634907,"about_ca_topic_score_gemma":0.8668374,"domain_scores_codex":[0.9980494,0.0005337175,0.00020041,0.0004601694,0.0003557938,0.0004005422],"domain_scores_gemma":[0.9985455,0.0002750787,0.000163333,0.0002617676,0.000570085,0.0001842306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006775258,0.0005478667,0.1792364,0.001698214,0.0007859338,0.0006459509,0.6036924,0.000001568046,0.01734851,0.001472111,0.02340967,0.170484],"study_design_scores_gemma":[0.00112018,0.0003030761,0.9579617,0.0001507964,0.0000231299,0.000005770367,0.03618094,0.00009007561,0.001599525,0.001586098,0.0008081586,0.0001705567],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584623,0.0003370761,0.00000526656,0.00009252156,0.0001243489,0.0004736359,0.0002295212,0.000006110533,0.04026924],"genre_scores_gemma":[0.9796305,0.0003647011,0.0001843109,0.000005715728,0.00002929087,0.000003666818,0.001130417,0.00001985655,0.0186315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7787253,"threshold_uncertainty_score":0.9979357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05597012352761077,"score_gpt":0.3562526529507281,"score_spread":0.3002825294231173,"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."}}