{"id":"W2032390153","doi":"10.1523/jneurosci.2259-13.2013","title":"Distinct Parietal and Temporal Connectivity Profiles of Ventrolateral Frontal Areas Involved in Language Production","year":2013,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Supramarginal gyrus; Neuroscience; Precentral gyrus; Supplementary motor area; Premotor cortex; Superior parietal lobule; Postcentral gyrus; Superior temporal gyrus; Posterior parietal cortex; Middle frontal gyrus; Parietal lobe; Angular gyrus; Macaque; Superior temporal sulcus; Middle temporal gyrus; Motor cortex; Cortex (anatomy); Psychology; Anatomy; Biology; Functional magnetic resonance imaging; Medicine; Magnetic resonance imaging; Stimulation","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0003981627,0.0001278297,0.000271266,0.0001763315,0.0001061341,0.00005505164,0.0001883504,0.00002976982,0.000007725299],"category_scores_gemma":[0.009999863,0.0001010047,0.00005928211,0.0003344253,0.0004369218,0.001006339,0.0001072291,0.0002488426,0.000001759838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004591539,"about_ca_system_score_gemma":0.00006783549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001006723,"about_ca_topic_score_gemma":0.00006329001,"domain_scores_codex":[0.9984834,0.0001884181,0.0003679139,0.0003248342,0.0004277034,0.0002077864],"domain_scores_gemma":[0.998691,0.0006136334,0.0004054331,0.0001256249,0.00008953316,0.00007477308],"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":[0.00007686079,0.0001799329,0.2227975,0.00001922305,0.000001259212,0.00003670556,0.0003684021,0.0000224742,0.7758597,0.00005378014,0.0001613862,0.0004227831],"study_design_scores_gemma":[0.0004617659,0.0005322343,0.8869679,0.0000451607,0.000005603662,0.0002624174,0.0002521396,0.001042122,0.1097561,0.0004984774,0.00006678358,0.0001093523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970163,0.00005594608,0.00005081098,0.001804975,0.0007703549,0.0002332774,0.00000577788,0.00001077881,0.00005183017],"genre_scores_gemma":[0.9995435,0.00001024281,0.00007026197,0.0002192167,0.00009204693,0.000007433712,1.468553e-7,0.000007439165,0.0000496579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6661036,"threshold_uncertainty_score":0.9983394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02862351724698994,"score_gpt":0.2577082171775919,"score_spread":0.229084699930602,"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."}}