{"id":"W2892039495","doi":"10.1515/lingvan-2017-0027","title":"The role of predictability in shaping phonological patterns","year":2018,"lang":"en","type":"article","venue":"Linguistics Vanguard","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Predictability; Context (archaeology); Computer science; Set (abstract data type); Comprehension; Reduction (mathematics); Cognitive psychology; Linguistics; Natural language processing; Psychology; Mathematics; Statistics; History","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006478362,0.0001018903,0.0001785149,0.00006167284,0.0001016738,0.00001446632,0.0004248204,0.0001647234,0.0005340938],"category_scores_gemma":[0.002489907,0.00007483588,0.0000505432,0.000158266,0.0005267668,0.000003925022,0.000156163,0.0003508033,0.0001226859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002544287,"about_ca_system_score_gemma":0.00003995542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000731262,"about_ca_topic_score_gemma":0.0007721783,"domain_scores_codex":[0.9986441,0.0001766599,0.0003397404,0.0002661021,0.0001492131,0.0004242305],"domain_scores_gemma":[0.9985314,0.0005543086,0.00007805302,0.0005260561,0.0002519801,0.00005817848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00033528,0.000322118,0.9408848,0.00001458124,0.00007159435,0.00002881318,0.01170945,0.000001858673,0.001239542,0.02621062,0.0005214901,0.01865985],"study_design_scores_gemma":[0.0005272108,0.0004890959,0.9227637,0.00002404845,0.00001104093,0.000004867123,0.001354896,0.0004901481,0.002567464,0.03723066,0.03439258,0.0001442639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494593,0.0007172826,0.00008061403,0.0000629803,0.001514144,0.0001730137,0.0000378732,0.00002820882,0.04792657],"genre_scores_gemma":[0.9988282,0.00002938172,0.0001284622,0.00004393829,0.00074412,0.00002082889,0.000004279545,0.00001145888,0.0001893788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04936884,"threshold_uncertainty_score":0.5847952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04052652632450414,"score_gpt":0.3620769572044678,"score_spread":0.3215504308799637,"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."}}