{"id":"W2091681261","doi":"10.1017/s1366728913000205","title":"Reading Russian–English homographs in sentence contexts: Evidence from ERPs","year":2013,"lang":"en","type":"article","venue":"Bilingualism Language and Cognition","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Linguistics; N400; Context (archaeology); Psychology; Sentence; Reading (process); Meaning (existential); Cognition; Event-related potential; History","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":[0.0003219555,0.0002646607,0.0002140061,0.0002714715,0.0002080945,0.000518157,0.0001706925,0.0004140828,0.002975392],"category_scores_gemma":[0.003162505,0.0002730117,0.0001021824,0.0001674312,0.000493585,0.000782565,0.0005214235,0.0004070301,0.000400146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001361129,"about_ca_system_score_gemma":0.0001349488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008338637,"about_ca_topic_score_gemma":0.001445986,"domain_scores_codex":[0.9997517,0.00005373638,0.00001724367,0.00009272911,0.00005397989,0.00003056645],"domain_scores_gemma":[0.9986467,0.0006430193,0.0003422134,0.0000955054,0.0001919629,0.00008059491],"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":[0.0009381885,0.0001967333,0.01915817,0.0004953314,0.00004460593,0.001331921,0.007114269,0.00005755056,0.9496922,0.0006797582,0.000221577,0.02006963],"study_design_scores_gemma":[0.0001476227,0.0006499632,0.930649,0.00007578839,0.0001292822,0.004395969,0.004789115,0.000538239,0.05437322,0.001968046,0.002246177,0.00003751207],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952255,0.0001481108,0.000586668,0.00004828271,0.000008868071,0.000009560712,0.0000653836,0.00001651618,0.003891099],"genre_scores_gemma":[0.9981559,0.000190001,0.0007663288,0.00007866044,0.00001126913,0.00001542617,0.0001226702,0.00002438646,0.0006353958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002975392,"threshold_uncertainty_score":0.009953737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047141036516443,"score_gpt":0.2718814855139096,"score_spread":0.2514100751487452,"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."}}