{"id":"W4394065598","doi":"10.6084/m9.figshare.24040675","title":"Additional file 4 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; Biology; Computational biology; Medicine; 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":[0.001064967,0.001367004,0.001441789,0.002291606,0.0008305233,0.001855889,0.001945012,0.002001032,0.4382728],"category_scores_gemma":[0.01021739,0.0005203689,0.001707755,0.003507615,0.0003703947,0.001147808,0.00133063,0.00131747,0.08397874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158183,"about_ca_system_score_gemma":0.00162811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202164,"about_ca_topic_score_gemma":0.02327825,"domain_scores_codex":[0.9993787,0.0000884914,0.00008060876,0.0002343395,0.0001039675,0.0001137872],"domain_scores_gemma":[0.9951085,0.003126169,0.0003881558,0.0005076957,0.0006005549,0.0002688694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003425946,0.00004618002,0.004442309,0.003702772,0.0001745039,0.00009927338,0.00005017658,0.0007055079,0.0003836083,0.0006477102,0.9850141,0.004391189],"study_design_scores_gemma":[0.002449777,0.0001420649,0.03012908,0.002272846,0.000452645,0.000596742,0.0001749151,0.00116984,0.001158085,0.005623285,0.9557293,0.000101488],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008933377,0.00003332825,0.00003919877,0.00003569395,0.000007326371,0.00000815284,0.9994839,0.000090596,0.0002124146],"genre_scores_gemma":[0.001652282,0.00008779253,0.0003849522,0.0001524812,0.00001473314,0.0001460905,0.9964636,0.0001160586,0.0009819259],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4382728,"threshold_uncertainty_score":0.8012357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06482944254052064,"score_gpt":0.3344136319720747,"score_spread":0.2695841894315541,"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."}}