{"id":"W2985200526","doi":"10.1075/ijcl.18009.hal","title":"<i>Phonological CorpusTools</i>","year":2019,"lang":"en","type":"article","venue":"International Journal of Corpus Linguistics","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Phonotactics; Phonology; Computer science; Software; Natural language processing; Linguistics; Phonological rule; Artificial intelligence; Neighbourhood (mathematics); Mathematics; Programming language; Philosophy","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":[0.001900353,0.001393547,0.0007405159,0.00459834,0.001083365,0.003283768,0.001595392,0.0006344598,0.17958],"category_scores_gemma":[0.01350052,0.001132024,0.0006790034,0.004545415,0.0009334694,0.002790298,0.002978347,0.001859724,0.05432052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007158782,"about_ca_system_score_gemma":0.001821793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002922342,"about_ca_topic_score_gemma":0.004036329,"domain_scores_codex":[0.9987465,0.0002443441,0.0001798102,0.0003180469,0.000434894,0.00007638835],"domain_scores_gemma":[0.9882668,0.006526137,0.0005583203,0.002035733,0.002301649,0.0003114154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003863793,0.0001045648,0.001551734,0.00129748,0.00005345729,0.0002195847,0.001381669,0.00107747,0.01044636,0.01726681,0.6617693,0.3044452],"study_design_scores_gemma":[0.0002583366,0.00008685106,0.006408609,0.0003335106,0.00003294059,0.0005360302,0.0003685224,0.01135139,0.03409472,0.02290571,0.9234411,0.0001823191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.00717681,0.0001855852,0.3029304,0.0007397275,0.0005401389,0.001494748,0.2009184,0.4311727,0.05484157],"genre_scores_gemma":[0.04477897,0.0002881172,0.5184499,0.0006242708,0.0003574504,0.007104175,0.2112941,0.1650369,0.05206601],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.17958,"threshold_uncertainty_score":0.6007548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0293132621904675,"score_gpt":0.3577817425146209,"score_spread":0.3284684803241534,"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."}}