{"id":"W4220762746","doi":"10.1101/2022.03.01.482591","title":"Deciphering of Somatic Mutational Signatures of Cancer","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Biology; Cancer genome sequencing; Microsatellite instability; Genetics; Somatic cell; Computational biology; Genome; Gene; DNA sequencing; Cancer; RNA; Human genome; Microsatellite","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":[0.000322657,0.0002918252,0.0003165513,0.0009510801,0.0001572564,0.0005938943,0.0002426797,0.000375699,0.001040086],"category_scores_gemma":[0.0007330547,0.0001225442,0.0004450727,0.0006531688,0.000302334,0.0003650608,0.0003231403,0.0003677457,0.0002328826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003023988,"about_ca_system_score_gemma":0.0003163081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001078664,"about_ca_topic_score_gemma":0.0008675921,"domain_scores_codex":[0.9998636,0.0000274484,0.000007007126,0.00004543596,0.00004129049,0.00001518271],"domain_scores_gemma":[0.9998342,0.00007538532,0.00003555721,0.00002160738,0.00001827018,0.00001499989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006442529,0.0001314169,0.07519534,0.0006889626,0.0003155087,0.001028995,0.0001958767,0.1753879,0.6285375,0.01880567,0.00246074,0.0966078],"study_design_scores_gemma":[0.0000259671,0.0001161619,0.04208434,0.00001902755,0.00008931995,0.0004789311,0.0001160386,0.816502,0.1092158,0.0273283,0.003992568,0.00003154428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8352156,0.0007295091,0.1561581,0.0003892805,0.00004229203,0.00004455761,0.002653087,0.002144657,0.00262295],"genre_scores_gemma":[0.9563278,0.0002131532,0.04139639,0.00005032605,0.00001681178,0.00001367758,0.001470682,0.00009244503,0.0004187218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001078664,"threshold_uncertainty_score":0.003479362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008734208258570297,"score_gpt":0.238475402944498,"score_spread":0.2297411946859277,"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."}}