{"id":"W2086362182","doi":"10.1037/a0014875","title":"Bilingual lexical access in context: Evidence from eye movements during reading.","year":2009,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Learning Memory and Cognition","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":371,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Psychology; Linguistics; Comprehension; Lexical access; Reading comprehension; Sentence; Eye movement; Neuroscience of multilingualism; Facilitation; Context (archaeology); Fixation (population genetics); Eye tracking; Cognitive psychology; Reading (process); Cognition; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001710294,0.0001836599,0.0001683306,0.0004111963,0.0001744651,0.0003019155,0.0001140957,0.0003148895,0.001181474],"category_scores_gemma":[0.001644656,0.0002091378,0.00009280742,0.0002846623,0.0002775053,0.0003740015,0.0003446604,0.0003309147,0.0002430611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001563394,"about_ca_system_score_gemma":0.0001247671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00172184,"about_ca_topic_score_gemma":0.004950491,"domain_scores_codex":[0.9999075,0.00001703558,0.000005239604,0.00003020134,0.00002429816,0.00001574662],"domain_scores_gemma":[0.9993975,0.00020272,0.0002273053,0.00004607109,0.00007744309,0.00004892227],"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":[0.0007598371,0.0000710553,0.03678246,0.0001830801,0.00004343155,0.000435767,0.001373366,0.0000449365,0.9318781,0.0001614605,0.0003999519,0.02786654],"study_design_scores_gemma":[0.00004222049,0.0001887061,0.9809195,0.00001942506,0.00002973176,0.0007524951,0.0002887532,0.0001730013,0.01643503,0.0002632828,0.0008761979,0.00001171934],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957471,0.0007790098,0.0006739283,0.00006201281,0.00001004675,0.0000134417,0.00024747,0.00003301284,0.002434001],"genre_scores_gemma":[0.9974196,0.0005449039,0.000970369,0.00007500064,0.00001433434,0.00002904021,0.0002875842,0.00001498716,0.0006441185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00172184,"threshold_uncertainty_score":0.003952444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06299769029691098,"score_gpt":0.4026847507598443,"score_spread":0.3396870604629333,"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."}}