{"id":"W4387312526","doi":"10.21203/rs.3.rs-3357273/v1","title":"Development of a rapid and comprehensive genomic profiling test supporting diagnosis and research for brain tumors","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Genetics; Japan Science and Technology Agency; Institute of Medical Science, University of Tokyo; Japan Society for the Promotion of Science; Astellas Foundation for Research on Metabolic Disorders; Kurozumi Medical Foundation; Cell Science Research Foundation; Astellas Pharma; University of Tokyo","keywords":"Profiling (computer programming); Computational biology; Data science; Computer science; Biology; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00236729,0.001193925,0.001140255,0.001812414,0.0003867814,0.001976859,0.001029587,0.002087658,0.003780433],"category_scores_gemma":[0.006078363,0.0006295213,0.0009484763,0.0008904562,0.0004529626,0.000976194,0.001383815,0.001189365,0.003633369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005881781,"about_ca_system_score_gemma":0.002326274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001390586,"about_ca_topic_score_gemma":0.001442789,"domain_scores_codex":[0.997798,0.0004014588,0.0001199929,0.0005556116,0.0009168466,0.0002080835],"domain_scores_gemma":[0.9973016,0.00109951,0.0001757467,0.0003456332,0.0008803814,0.0001971287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001401153,0.0004238151,0.03992679,0.0006035193,0.0003433963,0.0008461614,0.0001370142,0.01065074,0.5433926,0.005459468,0.01775748,0.3790579],"study_design_scores_gemma":[0.0003300863,0.001445027,0.0237748,0.0001125407,0.000422414,0.003075323,0.0001335302,0.1058893,0.7895373,0.01232223,0.06283409,0.000123502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.124853,0.003371229,0.8327718,0.004131929,0.0009685259,0.001266677,0.01144041,0.01181196,0.009384433],"genre_scores_gemma":[0.2584066,0.001206644,0.7171882,0.001907453,0.0003431257,0.0007709528,0.01201695,0.0005596061,0.007600524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003780433,"threshold_uncertainty_score":0.01264679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.252052618330823,"score_gpt":0.4770831949729998,"score_spread":0.2250305766421768,"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."}}