{"id":"W2805850026","doi":"10.1016/j.cobeha.2018.05.002","title":"Evolutionarily conserved neural signatures involved in sequencing predictions and their relevance for language","year":2018,"lang":"en","type":"review","venue":"Current Opinion in Behavioral Sciences","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; National Centre for the Replacement, Refinement and Reduction of Animals in Research; Wellcome Trust; Directorate for Biological Sciences; Wellcome; Duchossois Group; Institute of Infection and Immunity; National Institute for Health and Care Research; Biotechnology and Biological Sciences Research Council; Foundation for the National Institutes of Health","keywords":"Language evolution; Relevance (law); Sequence (biology); Temporal lobe; Perception; Cognition; Sequence learning; Human language; Aphasia; Psychology; Cognitive psychology; Computer science; Cognitive science; Biology; Artificial intelligence; Neuroscience; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005940145,0.0003688702,0.0006790175,0.0004406552,0.0002902109,0.0000892643,0.0006015837,0.0002308668,0.000009865382],"category_scores_gemma":[0.0005554972,0.000260891,0.0001657869,0.0008341021,0.001182423,0.0002714357,0.0001694938,0.0005346917,0.000002915476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001336397,"about_ca_system_score_gemma":0.0003553185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006481491,"about_ca_topic_score_gemma":0.0001149038,"domain_scores_codex":[0.9972631,0.0004016107,0.0006119785,0.00104071,0.0001845861,0.0004979976],"domain_scores_gemma":[0.9985886,0.0007567882,0.0003177266,0.0002238091,0.00003299989,0.00008006086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008052868,0.0009704291,0.003040371,0.01463057,0.00001029022,0.00009019087,0.01292637,0.00005669702,0.005194175,0.0009103932,0.002836622,0.9592534],"study_design_scores_gemma":[0.002640659,0.002478865,0.0004878214,0.05221244,0.0001931739,0.0006089309,0.004223773,0.003972843,0.0009671354,0.001454097,0.9271531,0.003607196],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05733793,0.9370604,0.000008407194,0.00004049432,0.003966078,0.001215117,0.0002972886,0.00006633963,0.00000799027],"genre_scores_gemma":[0.02379687,0.9751229,0.0001068757,0.00004236882,0.0004686755,0.0003434959,0.00007594028,0.00002294934,0.00001986748],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9556462,"threshold_uncertainty_score":0.9999843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2964203042253829,"score_gpt":0.4545994442883052,"score_spread":0.1581791400629223,"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."}}