{"id":"W2767152973","doi":"10.71781/30117","title":"Deciphering causal genetic determinants of red blood cell traits","year":2017,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Blood groups and transfusion","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; European Regional Development Fund; Fonds de Recherche du Québec - Santé; National Institutes of Health; Institut de Cardiologie de Montréal; Fondation Institut de Cardiologie de Montréal; Fondation Leducq; British Heart Foundation; Cancer Research UK; Yoshida Scholarship Foundation; Génome Québec; Wellcome Trust; Massachusetts General Hospital; National Institute for Health and Care Research; Genome Canada; National Institute of Diabetes and Digestive and Kidney Diseases; Li Ka Shing Foundation; Donovan Family Foundation; Hyundai Hope On Wheels; Canadian Institutes of Health Research; Andrea and Charles Bronfman Philanthropies; Tartu Ülikool; Amon G. Carter Foundation","keywords":"Genetics; Biology; Evolutionary biology; Computational biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001099351,0.0002256211,0.0006097519,0.00006456066,0.00009585716,0.00005566789,0.0003631186,0.0003151501,0.001408288],"category_scores_gemma":[0.00002268828,0.0002059013,0.0001138651,0.00004413153,0.00002373677,0.00006738721,0.00002749437,0.0002099014,0.00003985218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008260339,"about_ca_system_score_gemma":0.0002272206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002470884,"about_ca_topic_score_gemma":0.002420626,"domain_scores_codex":[0.9987618,0.00001714825,0.0003966975,0.0003851043,0.0002361067,0.0002031806],"domain_scores_gemma":[0.9990501,0.00001724753,0.0003142638,0.0004117001,0.00009128077,0.0001154471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006200142,0.0005814539,0.006571322,0.0006540767,0.0001383927,0.0005364867,0.00151497,7.968965e-7,0.204663,2.261872e-7,0.00004939622,0.7846698],"study_design_scores_gemma":[0.00420696,0.0006316036,0.40185,0.001888194,0.001857352,0.00007320587,0.0002715197,0.00001962304,0.5857307,0.00000897138,0.003148121,0.0003137402],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9369717,0.0004192403,0.000001196231,0.000006830347,0.0002490268,0.0007148802,0.00002819282,0.000001081572,0.06160784],"genre_scores_gemma":[0.9660175,0.0001593072,0.003565819,0.0000039343,0.0001025188,0.00001892127,0.0001896943,0.00005069051,0.02989165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7843561,"threshold_uncertainty_score":0.9995046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03072943586257388,"score_gpt":0.3234960550181746,"score_spread":0.2927666191556008,"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."}}