{"id":"W2403913515","doi":"10.1158/1557-3265.ovca15-b13","title":"Abstract B13: Discovery of novel subtype-specific ovarian cancer biomarkers via integrated tissue proteomics.","year":2016,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Mount Sinai Hospital","funders":"","keywords":"Serous fluid; Biomarker discovery; Clear cell; Ovarian cancer; Serous ovarian cancer; Proteomics; Biomarker; Serous Cystadenoma; Endometriosis; Proteome; Cancer; Clear cell carcinoma; Computational biology; Medicine; Bioinformatics; Cancer research; Biology; Carcinoma; Pathology; Internal medicine; Gene","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":[0.0008162156,0.0008816544,0.001014332,0.001470983,0.000406336,0.001141501,0.0006129888,0.000718986,0.002943732],"category_scores_gemma":[0.0007863868,0.0003229266,0.0007671246,0.001998535,0.0001575034,0.0004783135,0.0005495562,0.0005961668,0.002726609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003785567,"about_ca_system_score_gemma":0.0009865754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053269,"about_ca_topic_score_gemma":0.001612655,"domain_scores_codex":[0.9996186,0.00003623535,0.00003527667,0.0001256771,0.0001386367,0.00004555172],"domain_scores_gemma":[0.9997128,0.0000538833,0.00006765155,0.00002331749,0.00008960759,0.00005266106],"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":[0.0009690149,0.0002073211,0.01226796,0.0009909165,0.0001734267,0.0004001972,0.00005255644,0.0008503942,0.9332726,0.0002740985,0.003007614,0.04753387],"study_design_scores_gemma":[0.0003245743,0.001777645,0.1280542,0.0002017949,0.000869397,0.005087502,0.0002281683,0.03953307,0.782231,0.0013337,0.04023166,0.000127264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8226687,0.01442971,0.09784467,0.0009543727,0.0002346051,0.001029241,0.05297706,0.003786356,0.006075282],"genre_scores_gemma":[0.5542707,0.006564336,0.3189771,0.0007754121,0.0001493039,0.0006726953,0.1109004,0.0005280902,0.007161832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002943732,"threshold_uncertainty_score":0.00984776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1138502074593135,"score_gpt":0.4393276201483303,"score_spread":0.3254774126890168,"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."}}