{"id":"W4394250070","doi":"10.6084/m9.figshare.21062222","title":"Additional file 2 of TMBur: a distributable tumor mutation burden approach for whole genome sequencing","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency; SickKids Foundation; Hospital for Sick Children; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Mutation; Genome; Whole genome sequencing; Biology; DNA sequencing; Computational biology; Genetics; DNA; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001774473,0.001317302,0.001453828,0.002320393,0.0008600615,0.00203302,0.001992421,0.001536732,0.5930082],"category_scores_gemma":[0.01531172,0.0006698514,0.00113575,0.004100496,0.0003844383,0.001325043,0.001399576,0.001445288,0.139861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019803,"about_ca_system_score_gemma":0.001638171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006786904,"about_ca_topic_score_gemma":0.01386707,"domain_scores_codex":[0.999195,0.0001253897,0.0001067236,0.0003080509,0.0001315454,0.0001332727],"domain_scores_gemma":[0.9914615,0.005654775,0.0005708449,0.000970825,0.0009129994,0.0004290578],"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":[0.0002219063,0.00003738446,0.002748632,0.001066223,0.00006060521,0.00006754291,0.0000343014,0.0003840125,0.00016181,0.0005155003,0.9905506,0.004151484],"study_design_scores_gemma":[0.002218323,0.000113523,0.02154167,0.00131496,0.0002624915,0.0007729253,0.0001711667,0.001242472,0.0009916427,0.009620858,0.9616531,0.00009695058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001011904,0.00002000661,0.0001482778,0.00004159854,0.000008849359,0.00001787766,0.9991238,0.00015243,0.0003860305],"genre_scores_gemma":[0.002158618,0.00006211342,0.0008556071,0.0002118193,0.00002921578,0.0003814916,0.9940051,0.0003983333,0.001897571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5930082,"threshold_uncertainty_score":0.5805243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01879148126968764,"score_gpt":0.232945651548554,"score_spread":0.2141541702788664,"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."}}