{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002528069,0.0002301439,0.0001994273,0.0004945776,0.000256202,0.0004094115,0.00009708364,0.000189699,0.0009406807],"category_scores_gemma":[0.0007366033,0.0001259871,0.0001331122,0.0002097231,0.0004254715,0.000206607,0.0004070904,0.0002086775,0.00008373061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001834056,"about_ca_system_score_gemma":0.0001485388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005187768,"about_ca_topic_score_gemma":0.01089203,"domain_scores_codex":[0.9998856,0.00002108691,0.000009568943,0.00003853762,0.00002288336,0.00002236538],"domain_scores_gemma":[0.9996266,0.0001169821,0.00006730749,0.00003507547,0.00006143549,0.00009243067],"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":[0.001142848,0.0001021708,0.2539698,0.00007464255,0.00008475833,0.0004709679,0.01245292,0.0001935946,0.7193025,0.0002309917,0.00005404482,0.01192078],"study_design_scores_gemma":[0.000009338832,0.0001799439,0.9872494,0.000002420483,0.00003341709,0.0002319444,0.002955039,0.0004361518,0.008654026,0.00007419506,0.0001563915,0.00001767604],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997957,0.000007145247,0.00007250805,0.000002003549,5.114756e-7,0.000001219193,0.000005259914,6.978646e-7,0.0001150176],"genre_scores_gemma":[0.9996723,0.000007191738,0.000148769,0.000005592205,5.666209e-7,0.000002570944,0.00001556764,0.000001573265,0.0001458385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005187768,"threshold_uncertainty_score":0.01031518,"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."}}