{"id":"W2907097196","doi":"10.1111/ejn.14322","title":"Multivariate fMRI pattern analysis of fear perception across modalities","year":2018,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Stress Responses and Cortisol","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; International Laboratory for Brain, Music and Sound Research; Centre for Research on Brain Language and Music; Douglas Mental Health University Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Faculty of Medicine, McGill University","keywords":"Psychology; Perception; Voxel; Cognitive psychology; Multivariate statistics; Modalities; Neural correlates of consciousness; Multivariate analysis; Amygdala; Neuroimaging; Emotion perception; Anxiety; Functional magnetic resonance imaging; Cognition; Neuroscience; Artificial intelligence; Computer science","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":[0.0004873215,0.000242432,0.0002126435,0.0004188176,0.0001032667,0.0002260237,0.0001438688,0.0001434023,0.001470232],"category_scores_gemma":[0.001671793,0.0000986255,0.0002931466,0.0002653274,0.0001896792,0.0002565034,0.0002265847,0.0002244784,0.0001152813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000990077,"about_ca_system_score_gemma":0.0001406737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008973453,"about_ca_topic_score_gemma":0.00132277,"domain_scores_codex":[0.9998642,0.00002968734,0.000007237639,0.00004599903,0.00002940899,0.00002339364],"domain_scores_gemma":[0.9996713,0.0001543344,0.00005309705,0.00004237301,0.00005352477,0.00002536059],"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":[0.00104207,0.0001794409,0.03766447,0.000124271,0.0001721263,0.00020162,0.0006800001,0.002973898,0.8195949,0.0007559276,0.0004283581,0.1361829],"study_design_scores_gemma":[0.00003075334,0.0005976716,0.9283705,0.000008845954,0.0001361157,0.0008624013,0.0002271591,0.02796448,0.03930992,0.001949374,0.0005047122,0.00003812696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668818,0.00006678042,0.03188848,0.0000477108,0.000008117803,0.00003975695,0.0002113133,0.0001075252,0.000748662],"genre_scores_gemma":[0.9910589,0.00003871312,0.008408352,0.00001064196,0.00001004904,0.00003245838,0.0001157456,0.00002529655,0.0002998683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001470232,"threshold_uncertainty_score":0.004918456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06110786132324798,"score_gpt":0.328379128261043,"score_spread":0.2672712669377951,"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."}}