{"id":"W4286560540","doi":"10.1101/2022.07.20.22277727","title":"Novel genomic loci influence patterns of structural covariance in the human brain","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; F. Hoffmann-La Roche; University of Southern California; Medical Research Council; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Biology; Neuroscience; Human brain; Brain size; Neurodegeneration; Population; Computational biology; Medicine; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008211436,0.0001991394,0.0003344,0.0008351945,0.0002327108,0.0004033658,0.0001780786,0.0002995872,0.001389676],"category_scores_gemma":[0.003673778,0.0001654695,0.0005476928,0.000879047,0.0004219139,0.0001541797,0.0004223605,0.000279921,0.0001215792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001857317,"about_ca_system_score_gemma":0.0003108093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002114003,"about_ca_topic_score_gemma":0.003172727,"domain_scores_codex":[0.9993805,0.0001761732,0.00005530747,0.0002517132,0.00009573111,0.00004058415],"domain_scores_gemma":[0.9980159,0.0009116918,0.0006063585,0.0002661631,0.0001198645,0.00008000642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006329321,0.00007345549,0.8661383,0.0001333703,0.0009744231,0.0005966643,0.0002516817,0.00537356,0.07712452,0.0008420958,0.0007524959,0.04710644],"study_design_scores_gemma":[0.0000242602,0.00007211536,0.9841091,0.00001028875,0.0001488783,0.000788319,0.00008396187,0.008306179,0.004428968,0.001688727,0.0003219834,0.00001710526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919154,0.0002483813,0.00677377,0.00007581634,0.000003360483,0.00001010183,0.0007178677,0.00004490946,0.0002103484],"genre_scores_gemma":[0.9974689,0.00003655898,0.002125155,0.00001528151,0.000003720824,0.000006541132,0.0002741006,0.000007419867,0.00006243964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002114003,"threshold_uncertainty_score":0.004648924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293254869927138,"score_gpt":0.2972079000253362,"score_spread":0.2742753513260648,"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."}}