{"id":"W4394249484","doi":"10.6084/m9.figshare.20001014","title":"Additional file 15 of Integrated proteogenomic characterization of urothelial carcinoma of the bladder","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Urothelial carcinoma; Proteogenomics; Computer science; Computational biology; Cancer research; Biology; Medicine; Internal medicine; Bladder cancer; Cancer; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001127692,0.001836958,0.001782929,0.001863473,0.0007751106,0.001912515,0.002408503,0.002171534,0.4094125],"category_scores_gemma":[0.008727066,0.0006490824,0.001343173,0.003066433,0.0003207086,0.001188441,0.001265568,0.001323077,0.105541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391748,"about_ca_system_score_gemma":0.001904594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009958645,"about_ca_topic_score_gemma":0.01943608,"domain_scores_codex":[0.9993186,0.0001070608,0.0001019077,0.0002356881,0.0001271895,0.0001095721],"domain_scores_gemma":[0.9966498,0.001902581,0.0002900716,0.0003669006,0.0005663684,0.0002243912],"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":[0.0003231334,0.00007840878,0.002827463,0.003646532,0.0001137994,0.00007819111,0.00003336077,0.0007191594,0.0003907566,0.0004382403,0.9866175,0.004733499],"study_design_scores_gemma":[0.003383055,0.0001868832,0.02430666,0.001955959,0.000319249,0.0004905469,0.0001502986,0.002047339,0.001387803,0.004746821,0.9609098,0.0001156018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007406679,0.00002975364,0.0000479163,0.00003165742,0.000007534342,0.00001252008,0.9995583,0.00009922704,0.0001391125],"genre_scores_gemma":[0.000840538,0.00004902866,0.0003523179,0.00008112628,0.00000961697,0.0001556877,0.9978829,0.00007077748,0.000557885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4094125,"threshold_uncertainty_score":0.8424014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145850603090333,"score_gpt":0.2381083357636132,"score_spread":0.2166498297327099,"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."}}