{"id":"W4230033833","doi":"10.1158/1538-7445.am2021-207","title":"Abstract 207: The cBioPortal for Cancer Genomics","year":2021,"lang":"en","type":"article","venue":"Cancer Research","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Visualization; Genomics; Computer science; World Wide Web; Data visualization; Data science; Data mining; Genome; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001042096,0.00008359081,0.0001815881,0.00005433142,0.000275489,0.00006273895,0.0001659468,0.00005998912,0.001144026],"category_scores_gemma":[0.0005629414,0.00005658875,0.0001009175,0.0002381963,0.0002302866,0.00003073565,0.00007300064,0.0008217102,0.00001879566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002397429,"about_ca_system_score_gemma":0.001368717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007353653,"about_ca_topic_score_gemma":0.0001281058,"domain_scores_codex":[0.9986002,0.00004115804,0.0001766945,0.0002782102,0.0004391089,0.0004646331],"domain_scores_gemma":[0.9987872,0.0002657583,0.00003396639,0.0003095402,0.000422194,0.0001813064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000354979,0.0001811144,0.01497471,0.0006887424,0.0003875832,0.0003532328,0.001118683,0.0003640661,0.374772,0.001884333,0.1571501,0.4477704],"study_design_scores_gemma":[0.001366846,0.0000583019,0.02008351,0.0002777706,0.00005401341,0.00004671003,0.0005362667,0.002923488,0.02511669,0.0006574243,0.9487395,0.0001394338],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9084045,0.0137755,0.0003298796,0.07193454,0.0006604719,0.0005757457,0.000039572,0.00003080911,0.004248956],"genre_scores_gemma":[0.9782936,0.006177337,0.000582326,0.002369229,0.002048646,0.0004801379,0.00003141912,0.00005544243,0.00996188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7915895,"threshold_uncertainty_score":0.9997691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09070789689338121,"score_gpt":0.4748821239052705,"score_spread":0.3841742270118892,"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."}}