{"id":"W4256656062","doi":"10.1038/modpathol.2008.231","title":"Special Category - Pan-genomic/Pan-proteomic Approaches to Cancer","year":2009,"lang":"en","type":"article","venue":"Modern Pathology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pathology; Cancer; Computational biology; Hematopathology; Biology; Medicine; Genetics; Gene; Cytogenetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001254856,0.0002273437,0.0002449741,0.00006603528,0.00008814272,0.00002888862,0.0002900648,0.0002384166,0.00003599074],"category_scores_gemma":[0.00004139906,0.0002397512,0.000100622,0.00006078752,0.00006432788,0.000002702384,0.0001415116,0.0001234166,0.00006222265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006370444,"about_ca_system_score_gemma":0.0001595633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006044722,"about_ca_topic_score_gemma":0.000278473,"domain_scores_codex":[0.9985757,0.00004481851,0.000234847,0.0006254803,0.00007882911,0.0004402937],"domain_scores_gemma":[0.9992704,0.000008065028,0.00007165519,0.0004902153,0.00003443308,0.0001251805],"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":[0.0002451011,0.0001249217,0.001311385,0.000007317604,0.00002953805,0.00004322802,0.0004172934,0.001814929,0.8750182,0.000827097,0.01330206,0.1068589],"study_design_scores_gemma":[0.003817451,0.003169249,0.1852308,0.00002734784,0.0001833082,0.000307776,0.0001602849,0.001063481,0.5265741,0.02029072,0.2566362,0.002539237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985928,0.001049935,0.005767161,0.001386914,0.0007238659,0.0003814405,0.0001057356,0.00001904815,0.004637886],"genre_scores_gemma":[0.9895704,0.0003519379,0.001239359,0.002912872,0.004861123,0.00009233058,0.0001044231,0.00003467921,0.0008329221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3484441,"threshold_uncertainty_score":0.9776769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03770982111410691,"score_gpt":0.2481825862079358,"score_spread":0.2104727650938289,"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."}}