{"id":"W2974372990","doi":"10.1037/abn0000468","title":"Manipulating visual scanpaths during facial emotion perception modulates functional brain activation in schizophrenia patients and controls.","year":2019,"lang":"en","type":"article","venue":"Journal of Abnormal Psychology","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Toronto; University of Calgary","funders":"Branch Out Neurological Foundation; Canadian Institutes of Health Research; Alberta Innovates; Canadian Psychological Association; University of Calgary","keywords":"Psychology; Functional magnetic resonance imaging; Gaze; Face perception; Fusiform gyrus; Neuroscience; Facial expression; Schizophrenia (object-oriented programming); Visual cortex; Fixation (population genetics); Emotion perception; Visual perception; Occipital lobe; Perception; Functional imaging; Cognitive psychology; Medicine; Communication; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002720549,0.0001219735,0.0001945969,0.0003876748,0.00008645898,0.00003899465,0.00005787107,0.0001349114,0.0004687682],"category_scores_gemma":[0.0001682164,0.0001165828,0.00006197557,0.0001539935,0.00004163504,0.0008154401,0.0000191165,0.0003455433,0.00006552154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007929163,"about_ca_system_score_gemma":0.00001582629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005850746,"about_ca_topic_score_gemma":0.000003669296,"domain_scores_codex":[0.9986547,0.0002079054,0.0004702882,0.0002201046,0.000257623,0.000189432],"domain_scores_gemma":[0.99937,0.00008129551,0.0003456609,0.00005160856,0.00008774853,0.00006371156],"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":[0.001598083,0.0001648293,0.1141907,0.0000158062,0.000004041006,0.000002562627,0.0002625916,0.0005361669,0.8602595,0.00002338739,0.00002866547,0.02291369],"study_design_scores_gemma":[0.005626394,0.0004650553,0.988195,0.0000497956,0.000004228934,0.0001139575,0.00009960574,0.002764836,0.002358993,0.000188745,0.00002006161,0.0001133503],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981755,0.000002594329,0.0003117514,0.0003602405,0.0006139124,0.0001721038,0.000002573837,0.00001272436,0.0003485719],"genre_scores_gemma":[0.998996,0.00002051944,0.00008895707,0.0006295203,0.0002021332,0.000001769927,0.000007975569,0.00001165391,0.00004144828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8740042,"threshold_uncertainty_score":0.5132684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535033196448757,"score_gpt":0.2955948725513686,"score_spread":0.2702445405868811,"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."}}