{"id":"W6902139146","doi":"10.6084/m9.figshare.24040741.v1","title":"Additional file 21 of Cross-species oncogenomics offers insight into human muscle-invasive bladder cancer","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Bladder cancer; Urinary bladder; Table (database); Germline; Urinary 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00132,0.001557571,0.001744449,0.002821251,0.001027056,0.002351599,0.002577922,0.002479968,0.5669216],"category_scores_gemma":[0.01646356,0.0007361619,0.001803737,0.004643335,0.0004431333,0.0017235,0.001782738,0.00157547,0.1150488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240023,"about_ca_system_score_gemma":0.00196055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01199862,"about_ca_topic_score_gemma":0.02286563,"domain_scores_codex":[0.9991547,0.000115523,0.0001237095,0.0003209079,0.0001400254,0.0001450247],"domain_scores_gemma":[0.9907863,0.006410902,0.0005769019,0.0008145396,0.0009962674,0.0004151506],"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":[0.000243132,0.00003832593,0.002688052,0.003459454,0.000121912,0.0001043784,0.0000527595,0.0005050817,0.0002523836,0.0006714028,0.9882253,0.00363779],"study_design_scores_gemma":[0.003049294,0.0001166923,0.02418466,0.003289251,0.0004135035,0.0006627395,0.0002211966,0.001073029,0.0009850658,0.008905806,0.9569629,0.0001359096],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006671278,0.00003098063,0.00005140481,0.00004557472,0.00001032361,0.000008864999,0.9994331,0.0001137354,0.0002392839],"genre_scores_gemma":[0.001717236,0.0000989516,0.0005390293,0.0002028714,0.00002363217,0.0001870553,0.9958069,0.0002190768,0.001205167],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5669216,"threshold_uncertainty_score":0.6177338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08585852022031552,"score_gpt":0.3336597938694753,"score_spread":0.2478012736491597,"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."}}