{"id":"W2994662728","doi":"10.1186/s12014-019-9262-0","title":"The plasma peptides of breast versus ovarian cancer","year":2019,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Kingston General Hospital; Mount Sinai Hospital; St. Boniface Hospital; St. Michael's Hospital; McMaster University; Toronto Metropolitan University; Ottawa Hospital; Clinical Evaluation Research Unit; University of Manitoba; Ontario Institute for Cancer Research; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Institute for Cancer Research","keywords":"Breast cancer; Ovarian cancer; Proteomics; Oncology; Medicine; Internal medicine; Computational biology; Bioinformatics; Cancer; Chemistry; Biology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003142165,0.0001255942,0.000227655,0.00001050776,0.0001111057,0.0000221462,0.0004652381,0.0001865167,0.000219532],"category_scores_gemma":[0.0001410184,0.00009327524,0.0001599066,0.00008691577,0.0002248207,0.00005125239,0.0001442908,0.0004250459,0.00005732269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004377947,"about_ca_system_score_gemma":0.0001015305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003886887,"about_ca_topic_score_gemma":0.00001447705,"domain_scores_codex":[0.9987921,0.00001745054,0.0005716966,0.0002813459,0.0001248887,0.0002125013],"domain_scores_gemma":[0.9982731,0.0005420209,0.000329936,0.0006753301,0.0001037651,0.00007588566],"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":[0.006873842,0.0008654788,0.09586699,0.0004565848,0.0005681196,0.000003349479,0.0001373836,0.0006523412,0.5381147,0.1440141,0.002832517,0.2096146],"study_design_scores_gemma":[0.009997003,0.0004318453,0.00568266,0.0004338874,0.0001804531,0.00002227179,0.0003647387,0.01166233,0.7765696,0.05229066,0.1410225,0.001342067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835872,0.00005594553,0.002231869,0.001138527,0.0002256342,0.0005698179,0.0001186672,0.0001037471,0.01196861],"genre_scores_gemma":[0.9545902,0.000537726,0.04206758,0.00004506188,0.0003009822,0.000337264,0.00001174153,0.00003730557,0.002072148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.238455,"threshold_uncertainty_score":0.3803654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03561464309463789,"score_gpt":0.361284529362115,"score_spread":0.3256698862674771,"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."}}