{"id":"W2039274162","doi":"10.1016/j.brainres.2014.04.022","title":"Neural correlates of inferring speaker sincerity from white lies: An event-related potential source localization study","year":2014,"lang":"en","type":"article","venue":"Brain Research","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Centre for Research on Brain Language and Music","funders":"","keywords":"Psychology; N400; Sincerity; Prosody; Emotional prosody; Context (archaeology); Event-related potential; Cognitive psychology; Perception; Linguistics; Social psychology; Electroencephalography; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006991456,0.000314761,0.0001914005,0.0003385967,0.0002327616,0.0006883952,0.0002839692,0.0004625698,0.002428435],"category_scores_gemma":[0.0069965,0.0002399752,0.0001714671,0.00028115,0.0006799161,0.0006694226,0.0004593059,0.0006649459,0.0002868448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009765736,"about_ca_system_score_gemma":0.0001832012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006407468,"about_ca_topic_score_gemma":0.001235491,"domain_scores_codex":[0.9998081,0.00005176869,0.00001379761,0.00005354935,0.00004823514,0.00002447003],"domain_scores_gemma":[0.9979082,0.001171886,0.0005078768,0.0001782785,0.0001407403,0.00009303672],"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":[0.006882962,0.001555912,0.2415908,0.0003481937,0.0004545949,0.001814721,0.005931724,0.002003916,0.6632234,0.003183577,0.0009505215,0.07205968],"study_design_scores_gemma":[0.0001836304,0.0009617665,0.9664011,0.0000283696,0.0001977642,0.002366234,0.001231254,0.006785572,0.01824396,0.003024908,0.0005409473,0.00003443312],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976524,0.00006729941,0.001363464,0.0000539597,0.00000809355,0.00002668011,0.00009205074,0.000006314339,0.0007298854],"genre_scores_gemma":[0.9984286,0.00007469203,0.001027944,0.00003946943,0.00001877617,0.00001990098,0.00009036167,0.000009325509,0.0002908056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002428435,"threshold_uncertainty_score":0.008123934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05402796201189761,"score_gpt":0.408406287711648,"score_spread":0.3543783256997504,"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."}}