{"id":"W3162734530","doi":"10.1101/2021.05.12.21257119","title":"Neural bases of Frustration-Aggression Theory: A multi-domain meta-analysis of functional neuroimaging studies","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire en Santé Mentale de Québec","funders":"Fonds de Recherche du Québec - Santé; Eli Lilly Canada; Eli Lilly and Company","keywords":"Orbitofrontal cortex; Psychology; Insular cortex; Aggression; Neuroscience; Anterior cingulate cortex; Insula; Ventral striatum; Amygdala; Ventrolateral prefrontal cortex; Ventral tegmental area; Periaqueductal gray; Posterior cingulate; Prefrontal cortex; Zona incerta; Neuroimaging; Functional neuroimaging; Thalamus; Functional magnetic resonance imaging; Striatum; Developmental psychology; Midbrain; Cognition; Central nervous system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0201913,0.0016812,0.00448931,0.006118358,0.000849673,0.003269254,0.001902632,0.001162552,0.002281436],"category_scores_gemma":[0.02587691,0.0009189598,0.01820923,0.006293596,0.00100136,0.00147755,0.001932346,0.001602164,0.000149911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127918,"about_ca_system_score_gemma":0.0009972027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004548708,"about_ca_topic_score_gemma":0.0059741,"domain_scores_codex":[0.9865529,0.007717289,0.001484179,0.002865462,0.001034876,0.0003451859],"domain_scores_gemma":[0.9692787,0.02313788,0.003770841,0.002421766,0.0009796628,0.0004111853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001473794,0.00004912048,0.236659,0.01148377,0.7333632,0.0004065919,0.0003356719,0.001594468,0.001194703,0.0006652855,0.0008480861,0.01192634],"study_design_scores_gemma":[0.0004006398,0.0003073411,0.2482818,0.003143372,0.7356321,0.0006709766,0.0004233758,0.003867718,0.0007237875,0.004414261,0.002065755,0.00006893968],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.414724,0.5529169,0.01994468,0.003646491,0.0003794067,0.0003358364,0.005325784,0.0002550755,0.002471901],"genre_scores_gemma":[0.979294,0.01584626,0.00319036,0.0002926692,0.0000793542,0.0001525507,0.0009855989,0.00004920959,0.00011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0201913,"threshold_uncertainty_score":0.106783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5450152605253032,"score_gpt":0.4549701455132017,"score_spread":0.09004511501210155,"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."}}