{"id":"W2171868563","doi":"10.1093/cercor/bhr252","title":"Dissociating Frontotemporal Contributions to Semantic Ambiguity Resolution in Spoken Sentences","year":2011,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Wellcome Trust","keywords":"Ambiguity; Sentence; Context (archaeology); Inferior frontal gyrus; Comprehension; Meaning (existential); Psychology; Functional magnetic resonance imaging; Sentence processing; Cognitive psychology; Semantics (computer science); Ambiguity resolution; Contrast (vision); Cognition; Linguistics; Semantic memory; Computer science; Natural language processing; Artificial intelligence; Neuroscience","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":[0.0002683575,0.0001355215,0.0002050999,0.000095149,0.0001733974,0.00002353028,0.0002592276,0.00008875482,0.000131846],"category_scores_gemma":[0.001084324,0.0001204648,0.00006648064,0.000283041,0.0001054202,0.0001594563,0.0001135005,0.0002093111,0.0001297622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007270271,"about_ca_system_score_gemma":0.00004421758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669041,"about_ca_topic_score_gemma":0.001615145,"domain_scores_codex":[0.9984992,0.0002073245,0.0002908465,0.0004382642,0.0001392582,0.0004251144],"domain_scores_gemma":[0.9994549,0.00008691366,0.000104806,0.0002061335,0.00004107859,0.0001061299],"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":[0.0002469531,0.0005048057,0.3598134,0.00003018595,0.00001281523,0.001733104,0.01133584,0.000006496211,0.618176,0.003554708,0.001728843,0.002856859],"study_design_scores_gemma":[0.001389594,0.0004945474,0.8589509,0.0001196001,0.0000317575,0.0002089792,0.001498795,0.0006541637,0.1291417,0.006233345,0.0005555879,0.0007210267],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957332,0.00002739617,0.00009440011,0.0004952854,0.0003983032,0.0002779456,0.00006037695,0.0001003781,0.002812737],"genre_scores_gemma":[0.9980463,0.000003668956,0.0001699471,0.001223264,0.00009989717,0.0000116268,0.000008474612,0.00000933154,0.0004275284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4991375,"threshold_uncertainty_score":0.4912413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04967554717273294,"score_gpt":0.3090688106247412,"score_spread":0.2593932634520083,"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."}}