{"id":"W1974240359","doi":"10.1373/clinchem.2004.032177","title":"How Are We Going to Discover New Cancer Biomarkers? A Proteomic Approach for Bladder Cancer","year":2004,"lang":"en","type":"letter","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Cancer; Cancer biomarkers; Disease; Medicine; Biomarker discovery; Population; Biomarker; Bladder cancer; Monoclonal antibody; Computational biology; Identification (biology); Bioinformatics; Immunology; Proteomics; Biology; Internal medicine; Antibody; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0001266615,0.0008559611,0.001107455,0.00003408346,0.0001803618,0.000234297,0.001208797,0.002626422,0.0004510553],"category_scores_gemma":[0.0002433989,0.0008308536,0.00082844,0.0002113128,0.0002303581,0.0001133768,0.000342501,0.002918667,0.000009933106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007072251,"about_ca_system_score_gemma":0.001082939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006409656,"about_ca_topic_score_gemma":0.000006043704,"domain_scores_codex":[0.9957772,0.00001326487,0.0009783072,0.001929428,0.0003737356,0.0009279852],"domain_scores_gemma":[0.9967662,0.0002172913,0.0009655455,0.001468849,0.0001679519,0.0004141406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001105995,0.0001102462,0.0004210791,0.002747546,0.0003910675,0.00001671118,0.00001523771,0.00005754793,0.01682115,0.000004852759,0.9763823,0.002921625],"study_design_scores_gemma":[0.0009942413,0.00001398869,0.000002605248,0.00107388,0.0002601556,0.000008655826,0.00002153004,0.00009793205,0.1701886,0.001421966,0.8248147,0.001101759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003149344,0.001787826,0.07821443,0.9066935,0.0002176546,0.002905051,0.003817931,0.0006280787,0.002586229],"genre_scores_gemma":[0.001472353,0.003819023,0.2686478,0.2628801,0.05458229,0.03928325,0.003766621,0.001159907,0.3643886],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6438133,"threshold_uncertainty_score":0.9994142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07254487712600402,"score_gpt":0.3744346133324696,"score_spread":0.3018897362064656,"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."}}