{"id":"W2394486176","doi":"10.1534/g3.116.030841","title":"Analysis of Plasminogen Genetic Variants in Multiple Sclerosis Patients","year":2016,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Instituto de Salud Carlos III; Vlaamse regering; EMD Serono; Vancouver Coastal Health Research Institute; Fonds Wetenschappelijk Onderzoek; Chugai Pharmaceutical; Agence Nationale de la Recherche; Sanofi; Vancouver Foundation; Canadian Institutes of Health Research; Junta de Andalucía; Fondation pour l'Aide à la Recherche sur la Sclérose en Plaques; KU Leuven; Teva Pharmaceutical Industries; Biogen","keywords":"Missense mutation; Proband; Multiple sclerosis; Genotyping; Penetrance; Disease; Genetics; Medicine; Family aggregation; Internal medicine; Biology; Immunology; Genotype; Mutation; Phenotype; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001407431,0.0002590475,0.0003692515,0.0003321496,0.00005000961,0.00001217312,0.0003753662,0.0002222226,0.00006714433],"category_scores_gemma":[0.00001967284,0.0002142891,0.0002274223,0.0004928937,0.00008506597,0.000004903487,0.0002420573,0.00003954696,0.00001923303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003356722,"about_ca_system_score_gemma":0.00008108933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002285222,"about_ca_topic_score_gemma":0.0001493605,"domain_scores_codex":[0.9981083,0.00009505091,0.0005390052,0.0005710654,0.0002558723,0.0004306841],"domain_scores_gemma":[0.9987776,0.00002383626,0.0002031191,0.0007065182,0.0001567404,0.0001321517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004411351,0.000101615,0.2619812,0.000007745307,0.0002508011,0.000001034836,0.00002686477,0.000325397,0.5378055,0.000003472756,0.00002965603,0.1994226],"study_design_scores_gemma":[0.001511708,0.0003837766,0.1829605,0.00002241906,0.0002803814,8.377706e-7,0.00001728843,0.0003439848,0.8081664,0.00005270302,0.005894817,0.0003651355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488097,0.04785828,0.002460102,0.00001493023,0.0001683712,0.000320136,0.0002623252,0.000009086979,0.00009707754],"genre_scores_gemma":[0.9686441,0.02798095,0.002862798,0.00007826612,0.0001069212,0.00004452284,0.0001061583,0.0000382557,0.000137974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.270361,"threshold_uncertainty_score":0.8738457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961781706248555,"score_gpt":0.2120722150996727,"score_spread":0.1924543980371871,"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."}}