{"id":"W2588403207","doi":"","title":"Simulating Frontotemporal Pathways Involved in Lexical Ambiguity Resolution","year":2005,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ambiguity; Cognitive science; Context (archaeology); Cognition; Ambiguity resolution; Meaning (existential); Psychology; Computer science; Cognitive psychology; Linguistics; Natural language processing; Neuroscience; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000178617,0.0002553001,0.0001735448,0.0002142445,0.0002949287,0.0006127949,0.0005672911,0.0006848256,0.00285626],"category_scores_gemma":[0.0006218425,0.0001852307,0.0005359749,0.0001661024,0.000365237,0.0007619064,0.0003679458,0.0004530864,0.0002402675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009479609,"about_ca_system_score_gemma":0.000744936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007085269,"about_ca_topic_score_gemma":0.007013804,"domain_scores_codex":[0.9999485,0.00001438545,0.000001969012,0.000009415542,0.00001177759,0.00001386278],"domain_scores_gemma":[0.9998854,0.00005699,0.00001252831,0.00001442536,0.00001101429,0.00001962083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005074657,0.0001072988,0.00308362,0.00007797885,0.00005296105,0.001476661,0.0002547141,0.7822093,0.06600001,0.1348499,0.0006300097,0.01075012],"study_design_scores_gemma":[0.0000805466,0.00006621572,0.0008182042,0.000005211629,0.00002077568,0.0001793431,0.00004461946,0.9607532,0.004841841,0.03229858,0.0008801105,0.00001144669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7524148,0.0002350748,0.2239522,0.0007338038,0.00008184194,0.00006084279,0.0003738122,0.0004020311,0.02174584],"genre_scores_gemma":[0.9781662,0.0000999728,0.01944144,0.00003602744,0.000005629273,0.00002352287,0.00005691636,0.00001652172,0.002153738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007085269,"threshold_uncertainty_score":0.01408803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04233718920527662,"score_gpt":0.255287071088945,"score_spread":0.2129498818836684,"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."}}