{"id":"W1990051625","doi":"10.1096/fj.13-240879","title":"Genome‐wide protein QTL mapping identifies human plasma kallikrein as a post‐translational regulator of serum uPAR levels","year":2013,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Coagulation, Bradykinin, Polyphosphates, and Angioedema","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Institut Périmètre de physique théorique; Asthma and Lung UK; Universitair Medisch Centrum Groningen; Industry Canada; National Institute for Health and Care Research; Government of Canada; Ministry of Colleges and Universities; Wellcome Trust","keywords":"Kallikrein; Urokinase receptor; Genome-wide association study; Population; Urokinase; Biology; Gene; Asthma; Internal medicine; Immunology; Endocrinology; Molecular biology; Medicine; Genetics; Enzyme; Single-nucleotide polymorphism; Genotype; Biochemistry","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":[0.0002584153,0.0003193753,0.0002583749,0.0004514359,0.0001276785,0.0002964389,0.0002416257,0.0002546833,0.001369713],"category_scores_gemma":[0.0002331043,0.0001620951,0.0005172732,0.0004711075,0.0001647359,0.00006503307,0.000260832,0.0003232783,0.0001600678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000098146,"about_ca_system_score_gemma":0.0001639785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001672471,"about_ca_topic_score_gemma":0.001845862,"domain_scores_codex":[0.9997887,0.00003859435,0.0000125568,0.00009079724,0.00004304583,0.0000263397],"domain_scores_gemma":[0.9998584,0.0000541742,0.00004463496,0.00001450606,0.00001007202,0.00001824969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00144132,0.0001228373,0.1092653,0.0001455454,0.0005702264,0.002579904,0.000222523,0.001299172,0.8658024,0.0003503498,0.0005442747,0.01765607],"study_design_scores_gemma":[0.0001004252,0.0002220844,0.9668565,0.00001135968,0.0003424675,0.002009903,0.00008505845,0.003677537,0.02485091,0.0002958484,0.001525775,0.00002211083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953164,0.0004726153,0.003282444,0.00009146854,0.00001108078,0.000009831384,0.0005169094,0.00004248947,0.0002569108],"genre_scores_gemma":[0.9971654,0.000196888,0.00186523,0.00005153263,0.000009521984,0.000009135848,0.0004109558,0.00001383431,0.000277624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001672471,"threshold_uncertainty_score":0.004582167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02738110040945305,"score_gpt":0.2582084728328539,"score_spread":0.2308273724234008,"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."}}