{"id":"W3107001186","doi":"10.1038/s41398-021-01277-y","title":"Correction: Novel polygenic risk score as a translational tool linking depression-related changes in the corticolimbic transcriptome with neural face processing and anhedonic symptoms","year":2021,"lang":"en","type":"article","venue":"Translational Psychiatry","topic":"Stress Responses and Cortisol","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Depression (economics); Schizophrenia (object-oriented programming); Polygenic risk score; Transcriptome; Psychology; Neuroscience; Neural activity; Psychiatry; Medicine; Clinical psychology; Biology; Genetics; Single-nucleotide polymorphism; Genotype","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":[0.00542803,0.002186866,0.001861538,0.003135287,0.002345767,0.003724487,0.003785731,0.005311688,0.1241464],"category_scores_gemma":[0.09339184,0.001105886,0.001778402,0.002967716,0.002009015,0.002117321,0.002335293,0.008147242,0.04554902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002570934,"about_ca_system_score_gemma":0.005344835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01085502,"about_ca_topic_score_gemma":0.0115443,"domain_scores_codex":[0.9949162,0.0009831528,0.0008736941,0.0008950624,0.001819436,0.0005123451],"domain_scores_gemma":[0.9526911,0.01504451,0.00283282,0.004194006,0.02316574,0.002071952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001210039,0.000007656877,0.0003043747,0.0002456601,0.00004462549,0.0004243092,0.0000604019,0.00009166874,0.000234341,0.001170119,0.9885899,0.008705728],"study_design_scores_gemma":[0.0002679233,0.00006751666,0.0037623,0.0007283535,0.00013122,0.0024518,0.0001951663,0.001180869,0.001406409,0.005668292,0.9840063,0.0001338247],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.0006274929,0.0009996335,0.00376204,0.05309568,0.9300357,0.00004311189,0.007620849,0.001622084,0.002193483],"genre_scores_gemma":[0.07141635,0.009672903,0.03149822,0.1074071,0.4431204,0.0008169926,0.02594886,0.00921565,0.3009035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1241464,"threshold_uncertainty_score":0.4153111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131560128964027,"score_gpt":0.2673652955344249,"score_spread":0.2460496942447846,"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."}}