{"id":"W2150538213","doi":"10.3389/fnhum.2014.01057","title":"Individual differences in executive control relate to metaphor processing: an eye movement study of sentence reading","year":2015,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Research on Brain Language and Music; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Literal and figurative language; Metaphor; Psychology; Sentence; Reading (process); Context (archaeology); Control (management); Cognitive psychology; Comprehension; Cognition; Meaning (existential); Linguistics; Eye movement; Phrase; Sentence processing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001034915,0.0001879021,0.0003941391,0.0005665362,0.00009653641,0.00006679769,0.0006208246,0.00005955801,0.000007309237],"category_scores_gemma":[0.0001536916,0.0001667135,0.00002797489,0.0008611573,0.0001939012,0.0003420746,0.00008016094,0.0002410334,0.000001125183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006171053,"about_ca_system_score_gemma":0.00004779318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003487291,"about_ca_topic_score_gemma":0.0001362036,"domain_scores_codex":[0.9973436,0.0004859768,0.0004746522,0.000717651,0.0005621617,0.0004159395],"domain_scores_gemma":[0.999207,0.00002326173,0.0001997341,0.0003226665,0.00008107326,0.0001662372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002998761,0.002281179,0.8387198,0.00001116179,0.00001543282,0.000132145,0.1486521,0.0001541787,0.004603575,0.0004409697,0.0002938605,0.004395775],"study_design_scores_gemma":[0.003900187,0.003723931,0.8316132,0.00008482218,0.00006347137,0.000003176456,0.154826,0.001419537,0.000452501,0.00348535,0.00002588779,0.0004019328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932299,0.00009319594,0.003554146,0.00003230364,0.00108401,0.0008087426,0.00001204493,0.00002961386,0.001156078],"genre_scores_gemma":[0.9987376,0.000001417963,0.0002623927,0.0004449766,0.00002528,0.0001476711,0.00000198322,0.00001300308,0.0003656629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00710659,"threshold_uncertainty_score":0.6798378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05904921925485872,"score_gpt":0.33018180343637,"score_spread":0.2711325841815113,"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."}}