{"id":"W2956141067","doi":"10.1158/1538-7445.am2020-3209","title":"Abstract 3209: The cBioPortal for Cancer Genomics","year":2020,"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":"Princess Margaret Cancer Centre","funders":"","keywords":"Documentation; Visualization; Data science; Genomics; Container (type theory); World Wide Web; Computer science; Genome; Biology; Engineering; Data mining; Genetics","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":[0.003356142,0.002058092,0.002381074,0.008769832,0.001177294,0.004820277,0.005430676,0.002133919,0.06202663],"category_scores_gemma":[0.009089747,0.00140182,0.00187338,0.009469146,0.0004831573,0.003007634,0.006655967,0.003809305,0.07634599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148177,"about_ca_system_score_gemma":0.003551698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005185136,"about_ca_topic_score_gemma":0.005377269,"domain_scores_codex":[0.9977112,0.0005066799,0.0002823093,0.000448819,0.0007752405,0.0002757292],"domain_scores_gemma":[0.9957446,0.00101377,0.0003073073,0.001320133,0.0008059106,0.0008083144],"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":[0.0002437525,0.00002595704,0.0007948346,0.001388464,0.0001246234,0.0001398604,0.00008814251,0.001033845,0.002177844,0.005242676,0.9637793,0.02496074],"study_design_scores_gemma":[0.0003476228,0.00003801023,0.002496954,0.000536622,0.0001353164,0.0003962337,0.00005617484,0.00500416,0.003273279,0.0175761,0.9700444,0.00009517328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001977732,0.004042602,0.0515595,0.002184233,0.0008297337,0.0003969844,0.7677009,0.1515075,0.01980086],"genre_scores_gemma":[0.005727627,0.001140343,0.03025562,0.0007726428,0.0001691789,0.0006596964,0.940702,0.01722516,0.003347816],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06202663,"threshold_uncertainty_score":0.2074997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08667336812473563,"score_gpt":0.3994388675947552,"score_spread":0.3127654994700196,"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."}}