{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002412182,0.0006140899,0.0009456393,0.002198271,0.0005278264,0.001655196,0.0006824278,0.001271136,0.005187128],"category_scores_gemma":[0.003901107,0.0003315595,0.001149264,0.001969521,0.0006100854,0.0007907716,0.0006754833,0.001421699,0.0008484696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000433009,"about_ca_system_score_gemma":0.0009467427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003438509,"about_ca_topic_score_gemma":0.004244984,"domain_scores_codex":[0.9989104,0.0003357647,0.00008580656,0.0003433279,0.0001838753,0.000140762],"domain_scores_gemma":[0.9971312,0.001658612,0.0004732805,0.0003323792,0.0002442052,0.0001602257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001866483,0.0003253284,0.5800362,0.001705397,0.00216316,0.002217956,0.0009210155,0.002808017,0.2049921,0.006638304,0.002626275,0.1936997],"study_design_scores_gemma":[0.0001952194,0.0009237747,0.8716211,0.0007009602,0.002273598,0.004426425,0.001209529,0.01035584,0.05520448,0.01153745,0.04141018,0.0001414182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8942577,0.03145223,0.05946608,0.00290774,0.0003307504,0.0001688579,0.005245125,0.0003594494,0.005811991],"genre_scores_gemma":[0.9404172,0.01383297,0.0359488,0.001066054,0.0001968459,0.0001635877,0.003573371,0.0001468467,0.004654331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005187128,"threshold_uncertainty_score":0.01735264,"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."}}