{"id":"W2488687504","doi":"10.1075/lfab.12.13ban","title":"Regularities in irregular Chaha verbs","year":2014,"lang":"en","type":"book-chapter","venue":"Language faculty and beyond","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Linguistics; Computer science; Natural language processing; 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":[0.0006058017,0.0001844018,0.000276342,0.001554308,0.001352438,0.002314748,0.0003944105,0.0004111203,0.002331491],"category_scores_gemma":[0.004304167,0.0002526466,0.000214452,0.001404769,0.003010999,0.001660855,0.001585834,0.000689038,0.0004197918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005683294,"about_ca_system_score_gemma":0.0003268923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008068667,"about_ca_topic_score_gemma":0.001613885,"domain_scores_codex":[0.9992133,0.0002155324,0.00009063818,0.0001426605,0.0002427832,0.00009500729],"domain_scores_gemma":[0.9968075,0.001866923,0.0003677603,0.0004309021,0.0004330854,0.00009389086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004382792,0.0001138137,0.04252169,0.0003581389,0.00006901622,0.002413045,0.04342509,0.00159986,0.06146501,0.7462761,0.00373936,0.09758062],"study_design_scores_gemma":[0.00009071751,0.0003130739,0.1365861,0.0002184076,0.00008796786,0.01463069,0.02292374,0.01544998,0.03246542,0.6378953,0.1391369,0.0002017843],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138266,0.000507472,0.0202233,0.0003519449,0.00005502599,0.00004555146,0.0003030196,0.0002233496,0.06446383],"genre_scores_gemma":[0.9952794,0.00006796179,0.001653299,0.0000326278,0.00002804659,0.00002045188,0.0001676088,0.00008276799,0.002667849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002331491,"threshold_uncertainty_score":0.007799625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02174646752725659,"score_gpt":0.2317771004648752,"score_spread":0.2100306329376186,"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."}}