{"id":"W4200403218","doi":"10.1515/phon-2021-2015","title":"Acoustic classification of coronal stops of Eastern Punjabi","year":2021,"lang":"en","type":"article","venue":"Phonetica","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Coronal plane; Speech recognition; Computer science; Natural language processing; Linguistics; Pattern recognition (psychology); Artificial intelligence; Medicine; Anatomy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001802481,0.00008736067,0.0002228427,0.00007109141,0.00002426048,0.00000529892,0.0002017186,0.0001177827,0.005018251],"category_scores_gemma":[0.00009103114,0.00008905934,0.00006427159,0.0002303122,0.0002180145,0.00001404476,0.0000780597,0.0001752687,0.0002786331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001199509,"about_ca_system_score_gemma":0.0001081606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008232908,"about_ca_topic_score_gemma":0.00004172806,"domain_scores_codex":[0.9988346,0.0001558962,0.0003171048,0.0002427558,0.0002125162,0.0002371077],"domain_scores_gemma":[0.998893,0.0002090326,0.0001095503,0.0004832115,0.00023234,0.00007282141],"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":[0.0002446388,0.0008853194,0.0223976,0.00008765643,0.000180111,0.00003236806,0.004482604,0.00001626062,0.9468877,0.008338389,0.003311665,0.01313569],"study_design_scores_gemma":[0.0008345406,0.000233671,0.9560902,0.00002468403,0.00004475196,0.00003825187,0.0007170218,0.0007032952,0.0376322,0.002244728,0.00131374,0.0001229192],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699017,0.0008853041,0.001225842,0.0004324616,0.0005014591,0.0001059499,0.00005155248,0.00001264751,0.02688305],"genre_scores_gemma":[0.9964611,0.000043574,0.0002596932,0.00003838933,0.0000492006,0.00001615419,0.00002430002,0.00001407978,0.003093501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9336926,"threshold_uncertainty_score":0.9958913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07303105498721343,"score_gpt":0.3710949171613536,"score_spread":0.2980638621741402,"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."}}