{"id":"W4205830408","doi":"10.1017/s0952675721000257","title":"Homophony avoidance in the grammar: Russian nominal allomorphy","year":2021,"lang":"en","type":"article","venue":"Phonology","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Noun; Linguistics; Grammar; Dative case; Constraint (computer-aided design); Contrast (vision); Perception; Philosophy; Psychology; Computer science; Mathematics; 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":[0.0005428634,0.0001299167,0.0002031637,0.0003214641,0.0004496587,0.0007266824,0.0001892276,0.0002071773,0.001306319],"category_scores_gemma":[0.001292688,0.0001453993,0.0001310118,0.0002755052,0.001878811,0.0007045973,0.0007189274,0.0004224928,0.0001818528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002498649,"about_ca_system_score_gemma":0.0002735172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006099711,"about_ca_topic_score_gemma":0.0009553136,"domain_scores_codex":[0.9996156,0.0001134339,0.00003964737,0.0001034314,0.00009428071,0.00003357629],"domain_scores_gemma":[0.9991083,0.0003252428,0.0002324944,0.000210886,0.00007813467,0.00004502886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004958347,0.0001061711,0.06530181,0.0003675466,0.00009644209,0.001571059,0.03188317,0.0005985636,0.7869822,0.05570418,0.000331842,0.05656124],"study_design_scores_gemma":[0.00009640584,0.0007201257,0.7727606,0.00007830679,0.0002165475,0.01116166,0.0189589,0.00425672,0.108764,0.06180715,0.02105814,0.0001214617],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915662,0.0001040939,0.002704339,0.0000808855,0.000005176472,0.000003951438,0.00002477348,0.00001691547,0.005493724],"genre_scores_gemma":[0.9991801,0.0000404685,0.0005200897,0.00001126493,0.000003225604,0.000001932252,0.00001991275,0.00001221862,0.0002106501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001306319,"threshold_uncertainty_score":0.004370093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03637851962207242,"score_gpt":0.3482639762455096,"score_spread":0.3118854566234371,"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."}}