{"id":"W2757337358","doi":"10.1016/j.biopsycho.2017.09.013","title":"Electrocortical measures of information processing biases in social anxiety disorder: A review","year":2017,"lang":"en","type":"review","venue":"Biological Psychology","topic":"Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes","field":"Psychology","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Universiteit Leiden","keywords":"Psychology; Social anxiety; Anticipation (artificial intelligence); Anxiety; Event-related potential; Endophenotype; Electroencephalography; Cognitive psychology; Information processing; Stimulus (psychology); Error-related negativity; Developmental psychology; Cognition; Neuroscience; Anterior cingulate cortex; Computer science; Psychiatry; Artificial intelligence","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":[0.002361606,0.001106508,0.002417116,0.002142838,0.0001968904,0.001380996,0.001198352,0.0008817511,0.001972052],"category_scores_gemma":[0.005270408,0.0003318084,0.0009873036,0.002371788,0.000872163,0.001397061,0.0007783103,0.001088097,0.0004174883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006103773,"about_ca_system_score_gemma":0.001396703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002499389,"about_ca_topic_score_gemma":0.004429131,"domain_scores_codex":[0.9993994,0.0001256396,0.0001222838,0.0001334714,0.0001958039,0.00002332748],"domain_scores_gemma":[0.9967849,0.002389346,0.0002718093,0.00007321873,0.0004384017,0.00004246402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002813602,0.000124201,0.004015917,0.0259147,0.0007258885,0.00007903493,0.00009338917,0.0002014217,0.0009369194,0.0007695215,0.003776567,0.9630811],"study_design_scores_gemma":[0.0008203182,0.002475489,0.2336849,0.1206459,0.01640726,0.0100791,0.002015774,0.001597653,0.008138829,0.03074805,0.5726115,0.0007753359],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008887222,0.9980089,0.0003012791,0.0002359444,0.00007223847,0.0000168649,0.00005809055,0.0000050417,0.0004128603],"genre_scores_gemma":[0.007058883,0.9909487,0.001090492,0.0003466563,0.0002257354,0.00004099969,0.0000898304,0.000003371544,0.000195346],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002499389,"threshold_uncertainty_score":0.01248956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.39595112162701,"score_gpt":0.5173316382616577,"score_spread":0.1213805166346478,"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."}}