{"id":"W3096362290","doi":"10.1182/blood-2020-142086","title":"Opposing Evolutionary Pressures Drive Clonal Evolution and Health Outcomes in the Aging Blood System","year":2020,"lang":"en","type":"article","venue":"Blood","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network; Wilfrid Laurier University; Public Health Ontario; Ontario Institute for Cancer Research","funders":"","keywords":"Biology; Somatic evolution in cancer; Genetics; Disease; Genotyping; Population; Cancer; Gene; Genotype; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004812115,0.0001526058,0.0002569601,0.0004745726,0.0002724851,0.0005284736,0.0002430979,0.0002419593,0.001156632],"category_scores_gemma":[0.001675828,0.0001294708,0.0002149531,0.0004593663,0.0004405947,0.0003192851,0.0004973981,0.0004559872,0.0001567126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002967927,"about_ca_system_score_gemma":0.0003253375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007236867,"about_ca_topic_score_gemma":0.01274401,"domain_scores_codex":[0.9997995,0.00004538554,0.000008737899,0.0000823809,0.00002731652,0.00003666783],"domain_scores_gemma":[0.9995647,0.0001452996,0.0001257303,0.00004631936,0.00005829696,0.00005962806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002474131,0.00004603495,0.9019776,0.00008642285,0.0003539689,0.0002382955,0.000664164,0.004791204,0.04521665,0.00185526,0.001235476,0.0432875],"study_design_scores_gemma":[0.000009838762,0.00006556971,0.9767157,0.00002346855,0.0001006139,0.000302737,0.000323571,0.01297731,0.002960033,0.004871175,0.001629011,0.0000209364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953766,0.0004312669,0.00293473,0.0001274617,0.000005011273,0.000003978404,0.0004408043,0.00003343709,0.0006466697],"genre_scores_gemma":[0.9980943,0.0001532792,0.001075658,0.000112845,0.000005435542,0.00000427134,0.000337805,0.0000103118,0.0002061196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007236867,"threshold_uncertainty_score":0.01438951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371534882078874,"score_gpt":0.2480215039907935,"score_spread":0.2343061551700047,"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."}}