{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000254969,0.0002879913,0.000280343,0.001146883,0.0003808144,0.0004228393,0.0002427417,0.0004131898,0.001546502],"category_scores_gemma":[0.001651168,0.0001259479,0.0002686664,0.00114541,0.0001864033,0.0001333515,0.0002108137,0.0002842501,0.0003099399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002603028,"about_ca_system_score_gemma":0.0002496499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00430717,"about_ca_topic_score_gemma":0.002793623,"domain_scores_codex":[0.9996243,0.00007522113,0.00004861864,0.0001031403,0.000107272,0.00004148156],"domain_scores_gemma":[0.99959,0.0001208132,0.00011789,0.00003264945,0.00006151402,0.00007727399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005897224,0.00004940815,0.9752616,0.0000312263,0.0001081336,0.003541318,0.000292072,0.0001225596,0.0118779,0.00008790625,0.0003088816,0.007729298],"study_design_scores_gemma":[0.00004327677,0.0002034332,0.9858861,0.00001586101,0.00008123919,0.008385287,0.0002400392,0.0004785759,0.003055472,0.000116858,0.001484882,0.000008978454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998696,0.0002744203,0.0001757667,0.00004194328,0.000005271374,0.00001069019,0.0003518951,0.000010473,0.0004335883],"genre_scores_gemma":[0.9991509,0.00008210861,0.0002321558,0.00002942932,0.000007129662,0.000005674643,0.0003100556,0.000004519243,0.0001780774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00430717,"threshold_uncertainty_score":0.008564234,"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."}}