{"id":"W4237012958","doi":"10.1158/1538-7445.am2019-910","title":"Abstract 910: The cBioPortal for cancer genomics","year":2019,"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":"World Wide Web; Visualization; Computer science; Download; Software; Genomics; Data science; Genome; Biology; Data mining; Genetics; Operating system","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":[0.002966044,0.002044848,0.002369101,0.008850332,0.001203437,0.004593979,0.005238521,0.002052963,0.05612838],"category_scores_gemma":[0.006855089,0.001523099,0.001719176,0.01109324,0.0004801762,0.002957675,0.006507937,0.003954611,0.07384616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451125,"about_ca_system_score_gemma":0.00318515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004484994,"about_ca_topic_score_gemma":0.004854436,"domain_scores_codex":[0.9980727,0.0004549553,0.000229338,0.0003827425,0.000638086,0.0002220419],"domain_scores_gemma":[0.9967471,0.0007524497,0.000243972,0.001031487,0.0005841114,0.0006408776],"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":[0.0002093253,0.00002856159,0.0006862317,0.001448942,0.0001224146,0.0001236737,0.00009123074,0.001036191,0.002219762,0.005709786,0.9622868,0.0260372],"study_design_scores_gemma":[0.0003501102,0.00003332984,0.002347905,0.0004994921,0.0001267149,0.0003839869,0.00005505474,0.004816328,0.003005116,0.01855855,0.9697269,0.00009651377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.002116578,0.00475942,0.052012,0.001974529,0.0007112636,0.0004273656,0.7684073,0.1488615,0.02072999],"genre_scores_gemma":[0.005353601,0.001347332,0.0340214,0.000688845,0.0001464839,0.0007680123,0.9366449,0.01766316,0.003366305],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05612838,"threshold_uncertainty_score":0.1877682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04797229819333007,"score_gpt":0.389642651865596,"score_spread":0.3416703536722659,"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."}}