{"id":"W6939540459","doi":"10.6084/m9.figshare.24040720","title":"Additional file 15 of Cross-species oncogenomics offers insight into human muscle-invasive bladder cancer","year":2023,"lang":"en","type":"article","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; Bracken; Table (database); Fern; Cancer; Signature (topology)","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":[0.001847822,0.001094843,0.001453166,0.002678317,0.001009812,0.002083428,0.001860088,0.001676169,0.8299133],"category_scores_gemma":[0.0241998,0.000674036,0.001367863,0.004007032,0.000312959,0.001787873,0.001265684,0.0009948654,0.1700674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131037,"about_ca_system_score_gemma":0.001940943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006569204,"about_ca_topic_score_gemma":0.01189734,"domain_scores_codex":[0.9989995,0.0001363209,0.0001788565,0.0002719345,0.0002621064,0.0001512147],"domain_scores_gemma":[0.9803559,0.01433182,0.00103529,0.001311261,0.002538056,0.0004276891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005762064,0.0000968348,0.003247764,0.004253385,0.00009309137,0.0001239837,0.00007813843,0.0005081959,0.000514093,0.0005554174,0.9806872,0.009265816],"study_design_scores_gemma":[0.005302727,0.0003831481,0.04247428,0.00523023,0.0003827708,0.0008023718,0.0006450064,0.001988052,0.003063655,0.01172578,0.9277599,0.0002421976],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0001435496,0.00002569815,0.0001699784,0.00009373977,0.00002315331,0.00002966548,0.9987451,0.0003315174,0.0004374887],"genre_scores_gemma":[0.006560622,0.0001750918,0.002272893,0.0006155529,0.00008775574,0.0007331557,0.9827672,0.0008041308,0.005983543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8299133,"threshold_uncertainty_score":0.242608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06737171160842814,"score_gpt":0.3303498432074862,"score_spread":0.2629781315990581,"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."}}