{"id":"W2151765087","doi":"10.1002/hbm.22952","title":"A network of amygdala connections predict individual differences in trait anxiety","year":2015,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Amygdala; Parahippocampal gyrus; Anterior cingulate cortex; Orbitofrontal cortex; Neuroscience; Posterior cingulate; Context (archaeology); Ventromedial prefrontal cortex; Inferior frontal gyrus; Prefrontal cortex; Anxiety; Cognitive psychology; Functional magnetic resonance imaging; Temporal lobe; Cognition; Biology; Psychiatry","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":[0.0009105584,0.0001831781,0.0003301691,0.0001697865,0.000307805,0.0000466722,0.0003017649,0.00007824352,0.00003896618],"category_scores_gemma":[0.007160539,0.0001840758,0.00007393303,0.0007336168,0.0003003352,0.000210522,0.0001929972,0.0002718623,0.000008094572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007745196,"about_ca_system_score_gemma":0.0000840347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007957226,"about_ca_topic_score_gemma":0.0002492419,"domain_scores_codex":[0.9979535,0.0003393999,0.0003720312,0.0004948685,0.0004575317,0.0003826341],"domain_scores_gemma":[0.9962984,0.003157602,0.0001612793,0.0002270563,0.00006459899,0.00009109268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001124712,0.0006807495,0.5817343,0.0001650999,0.0001155308,0.00003613287,0.02360432,0.002786216,0.1293584,0.1235173,0.136174,0.001715517],"study_design_scores_gemma":[0.001403758,0.0002789316,0.9466329,0.0001728154,0.00001319476,0.00002579858,0.002255193,0.0006425506,0.0004668953,0.03897265,0.008781714,0.0003536374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883166,0.00006556728,0.0006125678,0.004025522,0.0003972081,0.0003391481,0.00003638785,0.0001318372,0.006075145],"genre_scores_gemma":[0.9973571,0.000003030685,0.0001412587,0.001827926,0.0002736142,0.00006150286,0.000004545017,0.00001584611,0.0003151827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3648986,"threshold_uncertainty_score":0.8572352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1447513635198325,"score_gpt":0.2820962308738992,"score_spread":0.1373448673540668,"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."}}