{"id":"W4388456357","doi":"10.1017/s0025100323000221","title":"An MRI-based articulatory analysis of the Kannada dental-retroflex contrast","year":2023,"lang":"en","type":"article","venue":"Journal of the International Phonetic Association","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Agence Nationale de la Recherche","keywords":"Context (archaeology); Vocal tract; Contrast (vision); Tongue; Place of articulation; Mathematics; Speech recognition; Linguistics; Computer science; Vowel; Consonant; Artificial intelligence; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001948139,0.0002669908,0.0002050284,0.0005655996,0.0002325245,0.0004338736,0.0001536577,0.0002202457,0.001608108],"category_scores_gemma":[0.0006974964,0.0001847256,0.0001503779,0.0002660674,0.0002890669,0.0002318314,0.000474509,0.0001904829,0.0003686206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009659174,"about_ca_system_score_gemma":0.0001489109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008676948,"about_ca_topic_score_gemma":0.001886692,"domain_scores_codex":[0.9999371,0.00001497759,0.000004160618,0.00002041851,0.00001399114,0.000009373183],"domain_scores_gemma":[0.9998183,0.000078736,0.00002628707,0.00001447099,0.00004583188,0.0000163237],"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":[0.0003631712,0.00001968583,0.008945764,0.0002205343,0.00003050112,0.0007222535,0.001784499,0.0007131831,0.9507477,0.0002674026,0.00009627237,0.0360891],"study_design_scores_gemma":[0.00003213796,0.0008986887,0.7942777,0.0001027274,0.0002080476,0.007222585,0.005703844,0.01406056,0.1699124,0.00095467,0.00650062,0.0001260161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934581,0.0002900347,0.004200294,0.00002395254,0.00001203485,0.00001556907,0.0001152717,0.00003540199,0.001849242],"genre_scores_gemma":[0.9936951,0.0001776911,0.005062506,0.000009696124,0.000009555518,0.00002365424,0.0001542686,0.00002695321,0.0008406331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001608108,"threshold_uncertainty_score":0.005379617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632306734910314,"score_gpt":0.3360697521286536,"score_spread":0.3197466847795504,"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."}}