{"id":"W3045078534","doi":"10.46538/hlj.13.2.6","title":"Cross-language Influence in the Stop Voicing Contrast in Heritage Tagalog","year":2016,"lang":"en","type":"article","venue":"Heritage Language Journal","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Voice; Tagalog; Markedness; Linguistics; Stress (linguistics); Contrast (vision); Phonology; Computer science; Psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003980247,0.0001558948,0.0001710686,0.0003564196,0.0003595714,0.0008901373,0.0001122867,0.0002027405,0.002064339],"category_scores_gemma":[0.001466562,0.0002009706,0.0001056566,0.0001701297,0.0008314308,0.0002754356,0.0007373703,0.000245888,0.000177665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004838769,"about_ca_system_score_gemma":0.0003928813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0165465,"about_ca_topic_score_gemma":0.05290666,"domain_scores_codex":[0.9996682,0.00007044915,0.0000178062,0.00009077688,0.00009342231,0.00005931078],"domain_scores_gemma":[0.9992236,0.000343394,0.0001276267,0.00007134784,0.0001200156,0.0001140594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000963559,0.00009151264,0.5051087,0.0001237084,0.0001049202,0.001943206,0.04623622,0.0003232163,0.4150752,0.001626273,0.0001249944,0.02827842],"study_design_scores_gemma":[0.000009862188,0.00009686864,0.9859316,0.0000082048,0.00003134842,0.0004518469,0.006436507,0.0002909333,0.005945715,0.0002403825,0.0005380789,0.00001858367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988726,0.0000168082,0.00005202423,0.000005179826,8.042492e-7,7.323638e-7,0.000004486358,0.000001686994,0.001045651],"genre_scores_gemma":[0.9996939,0.00001147536,0.00005652639,0.000003729543,5.652785e-7,4.599382e-7,0.000008236548,0.000003024029,0.0002221684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0165465,"threshold_uncertainty_score":0.03290033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783850683399238,"score_gpt":0.3601360597720182,"score_spread":0.3422975529380258,"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."}}