{"id":"W3030000665","doi":"","title":"FAB: The French Absolute Beginner Corpus for Pronunciation Training.","year":2020,"lang":"en","type":"article","venue":"Language Resources and Evaluation","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Pronunciation; Context (archaeology); Natural language processing; Set (abstract data type); Partition (number theory); Artificial intelligence; Training set; Speech recognition; Word (group theory); Linguistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008892688,0.00007536117,0.00009772825,0.0000271982,0.0001486269,0.00004291395,0.0001093593,0.00007942798,0.0003936757],"category_scores_gemma":[0.0001935672,0.00005222151,0.00003406708,0.0001070345,0.00005683535,0.00002411026,0.00002540785,0.0001181462,0.00003515467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000124951,"about_ca_system_score_gemma":0.00002522498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002394066,"about_ca_topic_score_gemma":0.0001202152,"domain_scores_codex":[0.9990823,0.0001628074,0.0001290954,0.0002137822,0.0002137048,0.0001982909],"domain_scores_gemma":[0.9994788,0.0001733235,0.00007106359,0.0001421534,0.00007711688,0.00005760264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001415286,0.00003008374,0.0006837281,0.00003121497,0.00009392446,0.000002384296,0.5691436,0.00007745116,0.002951798,0.0003667563,0.009864007,0.4166135],"study_design_scores_gemma":[0.005942931,0.001499811,0.5976992,0.00003867273,0.0003361275,0.00003027397,0.03593514,0.2043377,0.0004042826,0.005404594,0.1478264,0.0005449659],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849318,0.004538592,0.0004195269,0.006463102,0.0001382693,0.0007165662,0.00002133652,0.00002835157,0.002742511],"genre_scores_gemma":[0.9977614,0.00001410821,0.00008981283,0.0007261169,0.0004268031,0.0002059513,0.00004526108,0.00001207536,0.0007184272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5970154,"threshold_uncertainty_score":0.4310473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083050715093138,"score_gpt":0.3766665924784349,"score_spread":0.268361520969121,"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."}}