{"id":"W3080077903","doi":"10.5334/labphon.266","title":"Individual and dialect differences in perceiving multiple cues: A tonal register contrast in two Chinese Wu dialects","year":2020,"lang":"en","type":"article","venue":"Laboratory Phonology Journal of the Association for Laboratory Phonology","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Contrast (vision); Perception; Tone (literature); Context (archaeology); Active listening; Intonation (linguistics); Salient; Register (sociolinguistics); Mandarin Chinese; Meaning (existential); Linguistics; Communication; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002055328,0.0003769471,0.001078376,0.0005013994,0.0001901246,0.0000697187,0.000927044,0.0007656371,0.000109304],"category_scores_gemma":[0.0034884,0.0003060882,0.0001498242,0.001368575,0.0004193675,0.0002570105,0.0002301858,0.002105543,0.0000226125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003632563,"about_ca_system_score_gemma":0.0007386975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001140132,"about_ca_topic_score_gemma":0.003214677,"domain_scores_codex":[0.9950297,0.002056385,0.001151635,0.0005576371,0.0003271225,0.000877451],"domain_scores_gemma":[0.9952779,0.002359294,0.00123829,0.0003350425,0.0005802972,0.0002092133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009204159,0.0002527485,0.9598616,0.00002296641,0.0003757797,0.00005128473,0.02011343,0.00002032588,0.01606539,0.0001985677,0.001810016,0.0003074552],"study_design_scores_gemma":[0.007952528,0.0005595188,0.9863091,0.00003544765,0.00006345291,0.0000243769,0.0008606914,0.0000890982,0.0006409112,0.001145844,0.002027801,0.0002912649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880188,0.002414138,0.00002434664,0.006574361,0.001963448,0.0005319133,0.0003455745,0.00002557456,0.0001018901],"genre_scores_gemma":[0.9967547,0.0001514599,0.0001127404,0.002331135,0.0004562601,0.00008336645,0.000008710766,0.00004495326,0.00005668734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02644744,"threshold_uncertainty_score":0.9999391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02890974200862994,"score_gpt":0.3155726927984596,"score_spread":0.2866629507898296,"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."}}