{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003861699,0.0001066878,0.0001832672,0.000009598456,0.0002355962,0.00002042468,0.0004507402,0.0001665617,0.0001459544],"category_scores_gemma":[0.0003550383,0.00007636366,0.0001202084,0.00009180389,0.0007424974,0.00003843036,0.0001359785,0.0003162918,0.00002805798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002727356,"about_ca_system_score_gemma":0.00008835204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000314814,"about_ca_topic_score_gemma":0.00003040284,"domain_scores_codex":[0.998844,0.00001705814,0.0005948315,0.0002441356,0.0001016875,0.0001982416],"domain_scores_gemma":[0.9985451,0.0003124482,0.000313564,0.0005886545,0.0001667227,0.00007351861],"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":[0.00106529,0.0005894168,0.03876,0.0001755755,0.0002658024,0.000002332459,0.000213818,0.00003390989,0.5649607,0.120945,0.009007066,0.2639811],"study_design_scores_gemma":[0.0005241822,0.00008881682,0.0004384037,0.00006708397,0.0000259963,0.000002312796,0.00003926003,0.001837382,0.8464053,0.05313218,0.09723695,0.0002021866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946832,0.00008255077,0.0311661,0.001938844,0.0001661073,0.0005393492,0.00006986025,0.000167857,0.01903731],"genre_scores_gemma":[0.849468,0.0006160701,0.1463787,0.0001277108,0.0009234478,0.0004213613,0.000004940308,0.00003318539,0.002026639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2814446,"threshold_uncertainty_score":0.311402,"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."}}