{"id":"W4393096831","doi":"10.1158/1538-7445.am2024-3910","title":"Abstract 3910: The Atlas of Blood Cancer Genomes: A resource for therapeutic and biomarker development","year":2024,"lang":"en","type":"article","venue":"Cancer Research","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":"Biomarker; Cancer; Atlas (anatomy); Resource (disambiguation); Genome; Oncology; Biology; Medicine; Internal medicine; Computer science; Genetics; Anatomy; Gene","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":[0.00556649,0.001630022,0.00245382,0.008848777,0.0009190644,0.004078212,0.003128386,0.001484954,0.05298658],"category_scores_gemma":[0.01814148,0.001197489,0.001044868,0.01292459,0.0004772707,0.002380725,0.005128668,0.00271286,0.03357129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446277,"about_ca_system_score_gemma":0.004706418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00467328,"about_ca_topic_score_gemma":0.004398411,"domain_scores_codex":[0.9974177,0.0007549023,0.0003894778,0.0005267645,0.0007402305,0.0001707962],"domain_scores_gemma":[0.9860104,0.004046825,0.00160583,0.003356605,0.002647005,0.002333291],"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":[0.0007626364,0.00009425599,0.006436298,0.002204715,0.0002806733,0.0002836044,0.000164948,0.003052719,0.01021281,0.008235094,0.8339605,0.1343117],"study_design_scores_gemma":[0.000351866,0.0001247852,0.01351094,0.0006176388,0.0002071889,0.0004784409,0.00009434312,0.00478791,0.005440052,0.01429142,0.9599934,0.0001021907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003307024,0.003199184,0.04029262,0.002400262,0.0004417606,0.0004718233,0.9023842,0.03652986,0.01097324],"genre_scores_gemma":[0.0107472,0.002184521,0.06807131,0.0007934323,0.0002650373,0.001015227,0.9095764,0.004201165,0.003145735],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05298658,"threshold_uncertainty_score":0.1772578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06847345323816519,"score_gpt":0.3844354776527048,"score_spread":0.3159620244145396,"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."}}