{"id":"W4283073632","doi":"10.1101/2022.06.17.22276547","title":"Leveraging the CSF proteome toward minimally-invasive diagnostics and biological characterization of brain malignancies","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; Occupational Cancer Research Centre; University of Toronto","funders":"Canadian Institutes of Health Research; Brain Tumour Research; Ontario Ministry of Health and Long-Term Care","keywords":"Brain biopsy; Cerebrospinal fluid; Medicine; Liquid biopsy; Brain tumor; Receiver operating characteristic; Proteomics; Malignancy; Biomarker; Biopsy; Cancer; Pathology; Oncology; Internal medicine; Biology","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":[0.0007687466,0.0006004843,0.0004292619,0.00144064,0.0003083554,0.001629784,0.0003502469,0.0005568168,0.0007277951],"category_scores_gemma":[0.001365529,0.0002239423,0.0003933698,0.0007229084,0.000415201,0.0006543489,0.000783938,0.0006100319,0.0004818279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003051295,"about_ca_system_score_gemma":0.0005470283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007942345,"about_ca_topic_score_gemma":0.001164414,"domain_scores_codex":[0.9996328,0.00008582925,0.00002947599,0.0001053322,0.0001086562,0.00003782061],"domain_scores_gemma":[0.9994016,0.0001595762,0.0001898389,0.00005700361,0.0001334732,0.00005861835],"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":[0.000434451,0.0001021199,0.10056,0.0007383458,0.0001491624,0.0005450902,0.0001888876,0.001863945,0.7896719,0.0008265069,0.002339654,0.10258],"study_design_scores_gemma":[0.00002723226,0.0006447628,0.2521476,0.000295417,0.0002496525,0.004944862,0.0005272478,0.0254799,0.6903961,0.005400083,0.01979133,0.00009582357],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9200855,0.01643541,0.05362049,0.002271951,0.0001819049,0.0001575542,0.00377878,0.0006624399,0.00280604],"genre_scores_gemma":[0.9407845,0.004377828,0.05082691,0.0005771258,0.0001841773,0.0001046033,0.002132417,0.0000626621,0.0009498187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001629784,"threshold_uncertainty_score":0.004065573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04821131394106296,"score_gpt":0.273131220391889,"score_spread":0.2249199064508261,"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."}}