{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002396008,0.0009755664,0.001319018,0.00215557,0.000624522,0.003734797,0.001183606,0.004877324,0.004322617],"category_scores_gemma":[0.004322112,0.00034163,0.000505827,0.0009849984,0.002626524,0.005832317,0.001086097,0.006108573,0.004022333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109074,"about_ca_system_score_gemma":0.0006351059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003312556,"about_ca_topic_score_gemma":0.0005987475,"domain_scores_codex":[0.9990545,0.0002108027,0.0001162982,0.0001593247,0.0003847367,0.00007435536],"domain_scores_gemma":[0.9980972,0.000749658,0.0002183704,0.0001219307,0.0005689831,0.0002438897],"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":[0.00056842,0.0001029578,0.001650835,0.001460889,0.00009219862,0.0007981017,0.000142166,0.000090976,0.005135561,0.01743818,0.5001923,0.4723274],"study_design_scores_gemma":[0.00003027173,0.0001267247,0.0005224501,0.0003872709,0.00005057006,0.001357078,0.0001007784,0.000155803,0.001664589,0.00669267,0.9888873,0.00002454745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.001287344,0.7294092,0.003595972,0.1552778,0.1045634,0.00003521595,0.000115493,0.0001501269,0.005565409],"genre_scores_gemma":[0.01542069,0.5806291,0.004847627,0.1100893,0.2720769,0.00009065849,0.0001948226,0.000123014,0.01652783],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.004877324,"threshold_uncertainty_score":0.01446062,"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."}}