{"id":"W1974259598","doi":"10.1515/lp-2014-0007","title":"Aligning the timelines of phonological acquisition and change","year":2014,"lang":"en","type":"article","venue":"Laboratory Phonology Journal of the Association for Laboratory Phonology","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Deafness and Other Communication Disorders; Ohio State University; National Science Foundation","keywords":"Sound change; Contrast (vision); Phonological development; Variation (astronomy); Psychology; Linguistics; Mandarin Chinese; Corollary; Socialization; Phonological rule; Affect (linguistics); Phonology; Cognitive psychology; Developmental psychology; Mathematics; Computer science; Communication; Artificial intelligence","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":[0.001720655,0.0001218651,0.0002962857,0.00241043,0.0003967595,0.001563502,0.0003646106,0.000419351,0.004515701],"category_scores_gemma":[0.01333168,0.0003040211,0.0001814558,0.001709698,0.0008138042,0.002002727,0.00145096,0.0007306207,0.0008683702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004518233,"about_ca_system_score_gemma":0.0003489659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003344982,"about_ca_topic_score_gemma":0.006823063,"domain_scores_codex":[0.998793,0.0002682111,0.0001246748,0.0004618256,0.0002584773,0.00009379444],"domain_scores_gemma":[0.9863092,0.007644499,0.002399419,0.001432554,0.001891578,0.0003228119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008954772,0.0001080904,0.7317778,0.0005943019,0.0001998836,0.0006930569,0.02039345,0.0006247713,0.0582814,0.00944905,0.001481025,0.1755017],"study_design_scores_gemma":[0.000003019112,0.00005234386,0.9910289,0.00002434143,0.00001510659,0.0002819513,0.001020974,0.0002603514,0.002159489,0.0007305531,0.00440608,0.00001689807],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639412,0.001518594,0.007674222,0.0003319122,0.00007080472,0.00005227583,0.002366188,0.0001413343,0.02390339],"genre_scores_gemma":[0.9935493,0.0004236479,0.002514943,0.00006593202,0.00002602049,0.000063268,0.001452082,0.00009154696,0.001813219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004515701,"threshold_uncertainty_score":0.01510656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037161281732069,"score_gpt":0.2853092752721463,"score_spread":0.2649376624548256,"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."}}