{"id":"W3214596074","doi":"10.1182/blood-2021-151346","title":"The Atlas of Blood Cancer Genomes (ABCG) Project: A Comprehensive Molecular Characterization of Leukemias and Lymphomas","year":2021,"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":"University of Toronto","funders":"","keywords":"Genomics; Computational biology; Exome sequencing; Biology; CDKN2A; Molecular diagnostics; Cancer; Bioinformatics; Genome; Genetics; Gene; Mutation","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":[0.003056481,0.0007318133,0.001383173,0.00725093,0.0008750804,0.002479085,0.00158932,0.001014193,0.006031867],"category_scores_gemma":[0.00618324,0.0004069028,0.0008976348,0.009910763,0.000426825,0.0006566519,0.003436222,0.001251303,0.002164707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885729,"about_ca_system_score_gemma":0.003919261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01173453,"about_ca_topic_score_gemma":0.01209782,"domain_scores_codex":[0.9980322,0.0005337927,0.0001982637,0.0005378331,0.0004963434,0.0002016703],"domain_scores_gemma":[0.9965085,0.0007379971,0.0005244151,0.0005980658,0.0009298836,0.0007010507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002057807,0.0001476615,0.1006223,0.004861328,0.001313165,0.0006850389,0.000651588,0.005468574,0.03557963,0.01420147,0.5319552,0.3024561],"study_design_scores_gemma":[0.0006026929,0.0002177628,0.2385423,0.001085877,0.0008107923,0.002043562,0.0004070453,0.007728832,0.007644057,0.01672867,0.7240877,0.000100651],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.08320415,0.0279751,0.02751197,0.007900813,0.0003721192,0.0007487887,0.8352575,0.006631419,0.01039813],"genre_scores_gemma":[0.1175689,0.009039088,0.07454659,0.002137477,0.0002462654,0.001851977,0.7909092,0.001111075,0.002589515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01173453,"threshold_uncertainty_score":0.02333248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007885654580957633,"score_gpt":0.2315646027730055,"score_spread":0.2236789481920479,"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."}}