{"id":"W1562378430","doi":"10.3389/fnhum.2015.00273","title":"Syllogisms delivered in an angry voice lead to improved performance and engagement of a different neural system compared to neutral voice","year":2015,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; York University","funders":"Wellcome Trust","keywords":"Psychology; Speech recognition; Communication; Cognitive psychology; Audiology; Computer science; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005197105,0.0003103963,0.0004726014,0.0005305673,0.0001710719,0.0001664142,0.001185647,0.00005596668,4.827568e-7],"category_scores_gemma":[0.0001873589,0.000283849,0.00003786022,0.000662489,0.0002959851,0.0005843407,0.0004957234,0.0003309491,0.00000134588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001772384,"about_ca_system_score_gemma":0.0000379923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001059966,"about_ca_topic_score_gemma":0.0002047882,"domain_scores_codex":[0.9968573,0.0004169989,0.0005709169,0.001065564,0.0004236836,0.0006655024],"domain_scores_gemma":[0.9988376,0.00007180346,0.0001495752,0.000497091,0.00005921385,0.0003847499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002908655,0.000356152,0.08729164,0.0001565658,0.000001204122,0.000055606,0.007915477,0.0253169,0.8758652,0.00008164997,0.0006682355,0.002000483],"study_design_scores_gemma":[0.001789811,0.002737403,0.2040088,0.0002509305,0.000009000034,0.0000306124,0.002066027,0.5778691,0.2103294,0.0000350498,0.0002215374,0.0006523745],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946373,0.00002212601,0.002383027,0.0001304927,0.001750297,0.0008656867,0.00001614851,0.00008208255,0.0001128213],"genre_scores_gemma":[0.9979302,0.000003318914,0.0009538268,0.0009143783,0.00003837082,0.00005463997,9.831421e-7,0.0000203392,0.0000839588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6655359,"threshold_uncertainty_score":0.9999614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06833467042614383,"score_gpt":0.2930257972244594,"score_spread":0.2246911267983156,"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."}}