{"id":"W4412864574","doi":"10.1101/2025.07.31.25332511","title":"Distinct Neurodevelopmental Signatures of Sex-Specific Transcriptome-Based Polygenic Risk Scores for Depression","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary; Centre for Addiction and Mental Health","funders":"Natural Sciences and Engineering Research Council of Canada; Centre for Addiction and Mental Health Foundation","keywords":"Major depressive disorder; Transcriptome; Depression (economics); Sex characteristics; Psychology; Clinical psychology; Medicine; Gene; Biology; Internal medicine; Psychiatry; Gene expression; Cognition; Genetics","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":[0.0002243062,0.0002277628,0.0001692633,0.0003536804,0.00009709253,0.0002205632,0.00009753973,0.0001370306,0.0008649947],"category_scores_gemma":[0.0005277988,0.0001030947,0.0002344537,0.0001815688,0.0001348334,0.00008183515,0.0001861056,0.0002059289,0.0001070235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001115522,"about_ca_system_score_gemma":0.00009291085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001214117,"about_ca_topic_score_gemma":0.002442495,"domain_scores_codex":[0.9998575,0.00003469256,0.000007855754,0.00005709993,0.00002556538,0.00001728318],"domain_scores_gemma":[0.9997637,0.00004490148,0.0001103684,0.00002641793,0.00002621019,0.00002838049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005915722,0.00004943669,0.8739842,0.00002573513,0.0001919129,0.0002781818,0.0002392387,0.000207125,0.1088874,0.0001715997,0.0002157433,0.01515794],"study_design_scores_gemma":[0.000002794118,0.00006712192,0.9980959,0.000002062806,0.00001768775,0.0001672194,0.00003152026,0.0001512345,0.001336918,0.00003274764,0.00009268897,0.000002098483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988794,0.0001163546,0.000426349,0.0000162996,0.000002333673,0.000004589247,0.0003879844,0.000005530655,0.0001610681],"genre_scores_gemma":[0.9985372,0.0001238258,0.000528487,0.0000221388,0.000003808677,0.00001219977,0.0004857842,0.00000592546,0.0002805414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001214117,"threshold_uncertainty_score":0.002893627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650125805094085,"score_gpt":0.2676498351891967,"score_spread":0.2411485771382558,"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."}}