{"id":"W2011895066","doi":"10.1111/j.1551-6709.2011.01211.x","title":"The Effect of Sonority on Word Segmentation: Evidence for the Use of a Phonological Universal","year":2011,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Language Development and Disorders","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sonority hierarchy; Speech segmentation; Segmentation; Text segmentation; Stimulus (psychology); Phonology; Word (group theory); Computer science; Psychology; Natural language processing; Speech recognition; Artificial intelligence; Cognitive psychology; Linguistics","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":[0.001123166,0.000278439,0.0004294354,0.0003704343,0.0001857395,0.0005013167,0.0003678401,0.0004317749,0.002970795],"category_scores_gemma":[0.006937482,0.0003430764,0.0001514221,0.0001490852,0.001701697,0.0008933069,0.001284025,0.0005093094,0.0001956025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001641876,"about_ca_system_score_gemma":0.0002106244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000381513,"about_ca_topic_score_gemma":0.0006030512,"domain_scores_codex":[0.9992086,0.0002061636,0.00008050817,0.0002479705,0.0001853933,0.00007144331],"domain_scores_gemma":[0.9924937,0.004871435,0.001119644,0.0007679642,0.000280556,0.0004666892],"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":[0.00255437,0.0001906446,0.0215118,0.0003176206,0.00004246382,0.0002450826,0.001553221,0.0001253693,0.9450294,0.0005724239,0.00005990112,0.02779775],"study_design_scores_gemma":[0.0001904744,0.005818099,0.6328562,0.00006402415,0.0001492211,0.002058769,0.001208166,0.002088487,0.3505518,0.003734567,0.001222521,0.00005753534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979742,0.00007599814,0.001123954,0.00002520327,0.000004802506,0.00000737723,0.00001482479,0.00001482765,0.0007588574],"genre_scores_gemma":[0.997666,0.00006443122,0.001977662,0.00002497733,0.000003497722,0.00001498187,0.00002705733,0.00002269183,0.000198746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002970795,"threshold_uncertainty_score":0.00993824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2054937689959764,"score_gpt":0.3864103473478099,"score_spread":0.1809165783518335,"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."}}