{"id":"W2509572842","doi":"","title":"Individual Variations and Gradience in English Palatalization","year":2016,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Linguistics; Coarticulation; Gesture; Lexical item; Psychology; Computer science; Lexical density; Vowel","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000510462,0.0001295425,0.0002052134,0.0004955204,0.0001619454,0.0005953608,0.00009283664,0.0001880954,0.001428651],"category_scores_gemma":[0.002977925,0.0001789391,0.00009921761,0.000292697,0.0005685404,0.0002840488,0.000568142,0.0001879567,0.0002073986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008726069,"about_ca_system_score_gemma":0.0000708307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001578766,"about_ca_topic_score_gemma":0.003771764,"domain_scores_codex":[0.9996835,0.00007872973,0.00002651232,0.0001077061,0.00006821033,0.00003548675],"domain_scores_gemma":[0.9988785,0.0006675973,0.000144997,0.0001033078,0.000123949,0.00008151239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001185151,0.00007708479,0.5177954,0.0001386928,0.0002231865,0.0008694357,0.02386746,0.0004592492,0.405667,0.0007579333,0.0002257364,0.04873363],"study_design_scores_gemma":[0.000005039507,0.00005681028,0.995615,0.000003226644,0.00001531779,0.0003800232,0.001388598,0.0002138268,0.001860584,0.0001474613,0.0003009347,0.00001309572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989201,0.00004641742,0.0002427411,0.000007368605,0.000002065676,0.000003839344,0.00002957412,0.000005582505,0.000742313],"genre_scores_gemma":[0.9995143,0.00002883002,0.0001575475,0.00000445518,0.000001389729,0.000004134294,0.00003431076,0.00001089378,0.000244097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001578766,"threshold_uncertainty_score":0.004779339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664516796054988,"score_gpt":0.2876545562632526,"score_spread":0.2610093883027028,"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."}}