{"id":"W2117995875","doi":"10.1037/0022-3514.93.4.651","title":"Cutting stress off at the pass: Reducing vigilance and responsiveness to social threat by manipulating attention.","year":2007,"lang":"en","type":"article","venue":"Journal of Personality and Social Psychology","topic":"Stress Responses and Cortisol","field":"Neuroscience","cited_by":343,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Psychology; Vigilance (psychology); Perception; Personality; Social stress; Cognition; Developmental psychology; Attentional bias; Social perception; Stress (linguistics); Social psychology; Cognitive psychology","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":[0.0001641465,0.0003648244,0.0002083609,0.0001682084,0.0001608265,0.0002862795,0.0002776511,0.0004196079,0.002342765],"category_scores_gemma":[0.0004740483,0.0001339963,0.0001688175,0.0000676179,0.0002748191,0.0002027113,0.0002785436,0.0005281536,0.0002640631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001241067,"about_ca_system_score_gemma":0.0001383533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007371018,"about_ca_topic_score_gemma":0.0008865568,"domain_scores_codex":[0.9999194,0.00001521687,0.000004285007,0.00002350922,0.00001275803,0.00002480777],"domain_scores_gemma":[0.9998499,0.00003977442,0.00003626711,0.00001104887,0.000007237722,0.00005569716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005523508,0.005118961,0.00346182,0.0003703818,0.000142631,0.0001617001,0.0004228959,0.0001966772,0.8625979,0.0002982481,0.001191937,0.1205134],"study_design_scores_gemma":[0.003835274,0.1409271,0.2408964,0.0001919266,0.0009459219,0.001751056,0.000865804,0.006540394,0.5771901,0.002454803,0.024257,0.000144257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960086,0.001052494,0.001425857,0.0003857799,0.00007570154,0.00004908694,0.00002827738,0.00005036831,0.0009236921],"genre_scores_gemma":[0.9914375,0.001216993,0.003663185,0.0004498108,0.00007471546,0.0001144492,0.00006759016,0.00001754479,0.002958244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002342765,"threshold_uncertainty_score":0.007837296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06915160247425217,"score_gpt":0.383021974141883,"score_spread":0.3138703716676309,"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."}}