{"id":"W4387117121","doi":"10.3389/fnhum.2023.1247811","title":"Multi-modal cross-linguistic perception of Mandarin tones in clear speech","year":2023,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Multisensory perception and integration","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Mandarin Chinese; Modal; Linguistics; Perception; Speech recognition; Psychology; Speech perception; Computer science; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004275175,0.0001222275,0.0001887796,0.0006087004,0.0001055834,0.00004318627,0.0002855514,0.00009624334,0.0005458941],"category_scores_gemma":[0.000228834,0.0001275433,0.00004978575,0.0006737593,0.0004214265,0.0001269677,0.00004547025,0.0002385523,0.00007028673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007919206,"about_ca_system_score_gemma":0.00001594291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003043713,"about_ca_topic_score_gemma":0.0001464016,"domain_scores_codex":[0.9984442,0.0001377397,0.000403341,0.0004770189,0.0002288002,0.0003088725],"domain_scores_gemma":[0.9995233,0.00001732518,0.0000889318,0.0002764025,0.00004582904,0.00004824451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000145002,0.0003399972,0.7833053,0.00003422371,0.000001505754,0.0001014824,0.01202314,0.001820791,0.1910822,0.0006178149,0.003979615,0.006548905],"study_design_scores_gemma":[0.0006696316,0.0001101739,0.9618583,0.0000210357,0.000001525374,0.00000440612,0.001333042,0.03472647,0.0001629975,0.0001420055,0.0008496101,0.0001208458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920321,0.000006610124,0.002437742,0.00003050058,0.003342398,0.000226258,0.00001098847,0.0000712563,0.001842129],"genre_scores_gemma":[0.9916689,0.00001524924,0.001316874,0.0001163707,0.00005172495,0.00001877076,0.00000916907,0.00001516539,0.006787796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1909192,"threshold_uncertainty_score":0.5977158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07842051470035587,"score_gpt":0.4094421880246375,"score_spread":0.3310216733242816,"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."}}