{"id":"W3212844627","doi":"10.20944/preprints202111.0266.v1","title":"Pan-Cancer Integrative Analysis of Whole-Genome <em>De novo</em> Somatic Point Mutations Reveals 17 Cancer Types","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Government of Western Australia; University of New South Wales; Iran National Science Foundation; Australian Government; National Science Foundation","keywords":"Cancer; Biology; Computational biology; Gene; Genome; Subtyping; Genetics; Computer science","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":[0.0006627179,0.0005249627,0.0007886784,0.001944253,0.0005528461,0.0006978628,0.0003917265,0.000345375,0.00186217],"category_scores_gemma":[0.0006893477,0.0002434461,0.001131259,0.002018508,0.0002312364,0.0002223631,0.000598081,0.0005202804,0.0006136809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004478442,"about_ca_system_score_gemma":0.0006166165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005851763,"about_ca_topic_score_gemma":0.01248608,"domain_scores_codex":[0.9995782,0.00003270585,0.00002598514,0.000198871,0.00009667291,0.00006767328],"domain_scores_gemma":[0.9996569,0.00009194079,0.00007425694,0.00006041441,0.00007618279,0.00004036568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001165,0.0001997273,0.3393713,0.0006326059,0.001308198,0.001226606,0.0003421706,0.006620498,0.4791151,0.001263757,0.006861527,0.1618935],"study_design_scores_gemma":[0.00006072623,0.0002442084,0.8639899,0.00004465884,0.0008588156,0.001772191,0.0002906536,0.03367167,0.07490289,0.00152539,0.0225881,0.0000508382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.923629,0.003119451,0.03232323,0.0002896672,0.0000447756,0.0001249031,0.0333191,0.002650419,0.004499466],"genre_scores_gemma":[0.8988653,0.001126642,0.03922924,0.0002485058,0.00001740712,0.0001419284,0.05741938,0.0004651596,0.002486532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005851763,"threshold_uncertainty_score":0.01163542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436601476267468,"score_gpt":0.3139693706165284,"score_spread":0.2796033558538537,"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."}}