{"id":"W2989223418","doi":"10.1101/683367","title":"Common genetic variation indicates separate etiologies for periventricular and deep white matter hyperintensities","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Hyperintensity; Locus (genetics); Genome-wide association study; White matter; Genetic association; Etiology; Genetic architecture; Biology; Candidate gene; Phenotype; Disease; Ischemic stroke; Genetics; Medicine; Pathology; Gene; Magnetic resonance imaging; Cardiology; Genotype; Single-nucleotide polymorphism; Ischemia","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":[0.003643156,0.001127084,0.001684223,0.001595076,0.0006111489,0.001839205,0.000893621,0.0009848544,0.003060695],"category_scores_gemma":[0.005136745,0.0005433303,0.006948022,0.00218653,0.0005683592,0.0004698726,0.0008533985,0.001013801,0.0002338632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003054776,"about_ca_system_score_gemma":0.0003785481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003471101,"about_ca_topic_score_gemma":0.003728959,"domain_scores_codex":[0.9970319,0.001002427,0.0002589583,0.001240876,0.0002496027,0.0002161211],"domain_scores_gemma":[0.9962549,0.00212035,0.0006247106,0.000628541,0.0001809553,0.0001904842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005325988,0.00005793506,0.8501922,0.0008511663,0.1206521,0.0007978505,0.0001277703,0.001336895,0.008863629,0.0004320242,0.0009024498,0.01046002],"study_design_scores_gemma":[0.0005486015,0.0004236467,0.8911577,0.0002571415,0.09751824,0.001018779,0.0001965025,0.002866346,0.00292888,0.001420773,0.001622656,0.0000405729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636275,0.02691078,0.004766318,0.0005516587,0.000180363,0.00002840986,0.002679132,0.0001082995,0.001147623],"genre_scores_gemma":[0.997373,0.00117712,0.0005678858,0.0000776611,0.00005445684,0.0000122787,0.0005255875,0.00002163472,0.0001903985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003643156,"threshold_uncertainty_score":0.01926708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007879215887294913,"score_gpt":0.2145117385047478,"score_spread":0.2066325226174529,"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."}}