{"id":"W4294838619","doi":"10.1016/j.jcomdis.2022.106267","title":"Bidialectal and monodialectal differences in morphosyntactic processing of AAE and MAE: Evidence from ERPs and acceptability judgments","year":2022,"lang":"en","type":"article","venue":"Journal of Communication Disorders","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"P600; Psychology; Agreement; Sentence; Sentence processing; Verb; Linguistics; Variety (cybernetics); Electroencephalography; Feature (linguistics); Audiology; Event-related potential; Cognition; N400; Artificial intelligence; Computer science","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":[0.0004060808,0.0002217489,0.0001780559,0.0003841558,0.0002555019,0.0009948134,0.000213972,0.0003521383,0.00542576],"category_scores_gemma":[0.003040689,0.0002058568,0.0001458992,0.0002332708,0.0004949933,0.0009188583,0.000588712,0.00059338,0.0005886974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001728164,"about_ca_system_score_gemma":0.0002009359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001884915,"about_ca_topic_score_gemma":0.002493706,"domain_scores_codex":[0.9997233,0.0000484453,0.00002469189,0.0000982963,0.00006508922,0.00004025533],"domain_scores_gemma":[0.9988134,0.0005482121,0.0002255003,0.00006771184,0.0002419159,0.0001032215],"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":[0.001769556,0.00008463135,0.02218826,0.0001047283,0.00003283033,0.0002972975,0.001707805,0.00006632896,0.9564973,0.001719262,0.0001594895,0.0153726],"study_design_scores_gemma":[0.0000997912,0.000257157,0.9357617,0.00002174137,0.00007405774,0.002655464,0.002443717,0.001220676,0.0526615,0.002489573,0.002267775,0.00004679805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994086,0.00005710929,0.00113351,0.00005601986,0.00001271151,0.00001028043,0.000183783,0.00001582091,0.004444784],"genre_scores_gemma":[0.9973274,0.0000523037,0.001184079,0.0000573014,0.000007545597,0.00001698741,0.0002038918,0.00006123898,0.001089242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00542576,"threshold_uncertainty_score":0.01815093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03894207735985472,"score_gpt":0.2917205759097334,"score_spread":0.2527784985498787,"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."}}