{"id":"W4312194884","doi":"10.1016/j.bandl.2022.105199","title":"A subject relative clause preference in a split-ergative language: ERP evidence from Georgian","year":2022,"lang":"en","type":"article","venue":"Brain and Language","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Ergative case; Linguistics; Generalization; Subject (documents); Relative clause; Object (grammar); Nominative case; Preference; Reading (process); Georgian; Psychology; Computer science; Verb; Transitive relation; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004756731,0.0002305107,0.0002807292,0.0001745595,0.0002399525,0.000047228,0.0004131155,0.00007796635,0.001014069],"category_scores_gemma":[0.002158658,0.0002075347,0.00006231538,0.0004687841,0.000216581,0.000270156,0.0004269788,0.0006894902,0.0000316876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006208319,"about_ca_system_score_gemma":0.00007244864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00269513,"about_ca_topic_score_gemma":0.001115056,"domain_scores_codex":[0.9972379,0.001030269,0.0002705222,0.0008031688,0.0002576244,0.0004005467],"domain_scores_gemma":[0.9971845,0.002186102,0.0001294921,0.000390239,0.00001159844,0.00009810341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002615183,0.0001232667,0.001797673,0.0000194259,0.00001069123,0.006234412,0.1568316,0.000007923721,0.8261646,0.0005160946,0.0004836112,0.007549193],"study_design_scores_gemma":[0.009607462,0.002824228,0.08535488,0.0008591508,0.0001446472,0.002473209,0.1997693,0.001447332,0.6800072,0.006262708,0.007489825,0.003760086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945259,0.002090283,0.00001278042,0.001357027,0.0001367555,0.0004093822,0.0002027785,0.0001110328,0.001154053],"genre_scores_gemma":[0.992717,0.00004600372,0.0001863064,0.004635621,0.00007961528,0.00007468137,0.00002515772,0.00002378766,0.002211824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1461574,"threshold_uncertainty_score":0.9998991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04729938797972299,"score_gpt":0.300278203453878,"score_spread":0.252978815474155,"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."}}