{"id":"W3018534234","doi":"","title":"Tone mergers in spontaneous speech and gaps in the tone inventory","year":2020,"lang":"en","type":"article","venue":"SOPHIA (St. Catherine University)","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tone (literature); Speech recognition; Audiology; Computer science; Linguistics; Medicine; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002185974,0.0001282361,0.0001893765,0.0002343081,0.00005304912,0.00001023124,0.0004010484,0.0001183155,0.0008322655],"category_scores_gemma":[0.00002519275,0.0001221388,0.00004102098,0.0007061888,0.0001841003,0.00004047643,0.0001414392,0.0004361539,0.00007925445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005815553,"about_ca_system_score_gemma":0.00004498799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001284205,"about_ca_topic_score_gemma":0.001605724,"domain_scores_codex":[0.9988698,0.0002352688,0.0001225128,0.0003244783,0.0001208836,0.0003269949],"domain_scores_gemma":[0.9995018,0.0000814929,0.00003521029,0.0002549884,0.00002000384,0.0001065283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009608937,0.003381298,0.2459219,0.0003481829,0.0008566397,0.2211568,0.3434045,0.000291371,0.03254471,0.07932144,0.03778399,0.02538022],"study_design_scores_gemma":[0.01052276,0.002259933,0.3080796,0.00006734572,0.00009341881,0.001000381,0.03410375,0.000623917,0.0004846805,0.00379446,0.6376474,0.00132237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739407,0.0003888752,0.000003012005,0.006492056,0.0001112365,0.0002095499,0.00001814896,0.0000201563,0.01881622],"genre_scores_gemma":[0.9970256,0.0002406822,0.00003015542,0.0005333489,0.00006443351,0.000001532024,0.00001074646,0.00001379731,0.002079679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5998634,"threshold_uncertainty_score":0.9112724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02869616262092312,"score_gpt":0.2892508235690804,"score_spread":0.2605546609481573,"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."}}