{"id":"W2906249112","doi":"10.1186/s12014-018-9215-z","title":"The plasma peptides of ovarian cancer","year":2018,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":65,"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":"Tandem mass spectrometry; Chemistry; Electrospray ionization; Ovarian cancer; Chromatography; Mass spectrometry; Isobaric labeling; Proteomics; Blood proteins; Proteome; Cancer; Protein mass spectrometry; Biochemistry; Internal medicine; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001912934,0.0001717519,0.0001728113,0.0006676447,0.0001410938,0.0003108715,0.00009058005,0.0002171068,0.001654034],"category_scores_gemma":[0.0005124061,0.00008609099,0.0001424302,0.000591806,0.0001377144,0.0001777433,0.0002161804,0.0002521785,0.000335891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001437247,"about_ca_system_score_gemma":0.0001405759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002543447,"about_ca_topic_score_gemma":0.0002402598,"domain_scores_codex":[0.9998808,0.00002472142,0.00001303786,0.00003199769,0.00003027724,0.00001915374],"domain_scores_gemma":[0.999817,0.00004033981,0.00006981483,0.00001354835,0.00003062249,0.00002873119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009262144,0.00003735468,0.04876468,0.0004489794,0.00006786668,0.001082538,0.000141524,0.00008617331,0.9075991,0.0001738953,0.0006602951,0.04001137],"study_design_scores_gemma":[0.0001085339,0.001253234,0.7011291,0.00009434469,0.000177523,0.02358967,0.0004578683,0.001126671,0.2447938,0.0009514075,0.02628646,0.0000314082],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829645,0.01087115,0.00221302,0.0001925893,0.00006659968,0.00005181018,0.001161475,0.00007828762,0.002400617],"genre_scores_gemma":[0.9916123,0.002980796,0.002862749,0.000183621,0.00005855541,0.00004467015,0.001110557,0.00001829117,0.00112851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001654034,"threshold_uncertainty_score":0.005533278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04664016967617947,"score_gpt":0.3880742192261936,"score_spread":0.3414340495500142,"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."}}