{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005236135,0.000513944,0.0002752589,0.0006758332,0.0008313523,0.001349031,0.0004275061,0.0005331803,0.003346572],"category_scores_gemma":[0.002337221,0.0002303916,0.0003340091,0.0003691194,0.0007181355,0.0005735499,0.0006368764,0.0003277889,0.0004127228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00356592,"about_ca_system_score_gemma":0.002790123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8170221,"about_ca_topic_score_gemma":0.8407184,"domain_scores_codex":[0.9995793,0.00003857967,0.00001845044,0.0001309046,0.0001208213,0.0001119456],"domain_scores_gemma":[0.999063,0.0001898309,0.0001100599,0.00005020385,0.0004544103,0.0001326462],"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":[0.003374264,0.000155079,0.1888342,0.0004065011,0.0001223317,0.0007966127,0.01952206,0.0007589256,0.7136832,0.0008030611,0.001115647,0.07042816],"study_design_scores_gemma":[0.00002779745,0.0003144697,0.9725647,0.00001978841,0.00005717243,0.0004323909,0.0046861,0.00171061,0.01818232,0.00008809395,0.001805421,0.0001110839],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981536,0.00009004665,0.0002292345,0.00002270719,0.000003665799,0.000008999742,0.0001222175,0.00001366412,0.00135577],"genre_scores_gemma":[0.9972482,0.00007902073,0.0005658685,0.00004137243,0.000001815333,0.000008737139,0.0002902704,0.00001253199,0.001752084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1829779,"threshold_uncertainty_score":0.3681108,"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."}}