{"id":"W4389727985","doi":"10.1182/blood.2023022171","title":"From black and white to fifty shades of grey","year":2023,"lang":"en","type":"letter","venue":"Blood","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"White (mutation); Medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001254987,0.0007839556,0.0009468524,0.000878247,0.002692993,0.00350647,0.001517535,0.01039679,0.07751312],"category_scores_gemma":[0.01124072,0.0005354543,0.000694728,0.0006603345,0.001732171,0.001924317,0.001322917,0.0135481,0.0579533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001441675,"about_ca_system_score_gemma":0.0009044799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002976306,"about_ca_topic_score_gemma":0.00653907,"domain_scores_codex":[0.9983878,0.0004084202,0.0001580183,0.0002415719,0.0006017371,0.000202397],"domain_scores_gemma":[0.9964611,0.001591637,0.0001945352,0.0002198196,0.0008217096,0.0007112504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002448692,0.00001176501,0.0001655851,0.0000163062,0.000004629874,0.0003427339,0.00002058001,0.000009411188,0.0000801927,0.0004324053,0.9922662,0.006625588],"study_design_scores_gemma":[0.00005885642,0.00002716912,0.0008523773,0.0001396256,0.00001179449,0.001209138,0.0001626019,0.0001443662,0.0001267282,0.002862675,0.9943866,0.00001811931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006016405,0.003034864,0.0003722759,0.7202632,0.2484779,0.00003432058,0.0002174444,0.0002604492,0.0267379],"genre_scores_gemma":[0.007011843,0.003066148,0.0004313754,0.6426963,0.2730247,0.00006036328,0.000179186,0.000186358,0.07334374],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07751312,"threshold_uncertainty_score":0.2593073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505218099911869,"score_gpt":0.2497988391464886,"score_spread":0.2347466581473699,"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."}}