{"id":"W4394171326","doi":"10.6084/m9.figshare.24040672","title":"Additional file 3 of Cross-species oncogenomics offers insight into human muscle-invasive bladder cancer","year":2023,"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 Guelph","funders":"","keywords":"Bladder cancer; Computer science; Cancer; Computational biology; Biology; Medicine; Human–computer interaction; Internal medicine","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":[0.001120377,0.001418872,0.00149119,0.00224245,0.0008411406,0.001991432,0.002006026,0.002023641,0.4603832],"category_scores_gemma":[0.01157275,0.0005599727,0.001745485,0.00369835,0.0003915984,0.001285282,0.001446882,0.00142414,0.0936738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168319,"about_ca_system_score_gemma":0.001773424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007201,"about_ca_topic_score_gemma":0.02011194,"domain_scores_codex":[0.9993134,0.00009997573,0.00009605746,0.0002527967,0.0001177042,0.0001202019],"domain_scores_gemma":[0.9940757,0.003920719,0.0004359049,0.0005570052,0.0007105106,0.0003002189],"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":[0.0003220761,0.00004604291,0.00349625,0.00353606,0.0001419795,0.00008929848,0.00004766416,0.0006156729,0.0003189724,0.0006464644,0.9867179,0.00402165],"study_design_scores_gemma":[0.002733641,0.0001379203,0.02426728,0.002321333,0.0004034153,0.0005673848,0.0001778466,0.001090485,0.001112107,0.006104111,0.9609858,0.00009864062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000769147,0.00003114596,0.00004427704,0.00003755522,0.00000762116,0.000009077355,0.9994777,0.00009349593,0.000222186],"genre_scores_gemma":[0.001462153,0.00009063417,0.0004029336,0.0001725283,0.00001652056,0.0001699788,0.9965417,0.0001305176,0.001012931],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4603832,"threshold_uncertainty_score":0.7696979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06436345712801297,"score_gpt":0.3339670397819381,"score_spread":0.2696035826539251,"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."}}