{"id":"W2120277210","doi":"10.1373/clinchem.2006.082552","title":"Oncopeptidomics: A Useful Approach for Cancer Diagnosis?","year":2007,"lang":"en","type":"letter","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Cancer; Computational biology; Medicine; Biology; Internal medicine","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","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0003913353,0.0006148561,0.0009685984,0.00003123791,0.0001485247,0.00006466379,0.001136141,0.003904707,0.001224424],"category_scores_gemma":[0.0003659935,0.0006329257,0.0008817132,0.0001136385,0.0003705184,0.00004776074,0.0002288192,0.004239095,0.00001753382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002775104,"about_ca_system_score_gemma":0.0002420315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007862493,"about_ca_topic_score_gemma":6.237569e-7,"domain_scores_codex":[0.9962211,0.00001127805,0.001341399,0.001390966,0.0002825319,0.0007527384],"domain_scores_gemma":[0.9962425,0.001119735,0.0007908325,0.001415914,0.0002294358,0.0002015388],"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":[0.0000463806,0.000181327,0.001810305,0.001542594,0.0001216354,0.00001451227,0.000004147121,0.000003490314,0.0004004152,0.000006652836,0.9918537,0.004014915],"study_design_scores_gemma":[0.0007129565,0.00001038016,9.975523e-7,0.0001794648,0.000156636,0.000007362543,0.000007125566,0.0001124282,0.08404642,0.0007318556,0.9133331,0.0007012495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01228184,0.005770172,0.1183611,0.6254959,0.0009010073,0.00534304,0.01619806,0.00383928,0.2118096],"genre_scores_gemma":[0.0004049727,0.004194704,0.2129679,0.5864474,0.05632592,0.0357147,0.0102814,0.0006884474,0.09297456],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1188351,"threshold_uncertainty_score":0.9996886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0843316056434045,"score_gpt":0.4031969510147386,"score_spread":0.318865345371334,"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."}}