{"id":"W4388588713","doi":"10.1093/neuonc/noad179.0074","title":"BIOM-63. PROTEOMIC BASED PROFILING OF CSF FOR CNSL MANAGEMENT","year":2023,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Cerebrospinal fluid; Primary central nervous system lymphoma; Proteomics; Medicine; Lymphoma; Shotgun proteomics; Oncology; Clinical endpoint; Bioinformatics; Internal medicine; Biology; Clinical trial","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":[0.0003271215,0.0004640172,0.000353747,0.001138021,0.0003675603,0.0006370974,0.0002141963,0.0003658787,0.001038239],"category_scores_gemma":[0.00050919,0.0001369437,0.0002462249,0.0007868602,0.0001906111,0.0001923016,0.000350106,0.0003170164,0.000650164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003091923,"about_ca_system_score_gemma":0.000317418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168451,"about_ca_topic_score_gemma":0.001137294,"domain_scores_codex":[0.9997968,0.00003219723,0.0000270808,0.00004515074,0.0000701078,0.00002873615],"domain_scores_gemma":[0.9998406,0.00002029928,0.00004932892,0.000007913422,0.00006305422,0.00001878014],"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":[0.0008797331,0.0001394664,0.04875969,0.0003504955,0.00006017782,0.0006271117,0.0001366942,0.0002492342,0.9201515,0.00008273992,0.0008869569,0.02767617],"study_design_scores_gemma":[0.00006156952,0.001284924,0.3499419,0.0001133999,0.0002197906,0.00413108,0.0004719454,0.005284139,0.6254412,0.0003163168,0.01269088,0.00004294721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823172,0.006213825,0.004393518,0.0003633601,0.0001046807,0.0001834531,0.004280739,0.0002117543,0.001931383],"genre_scores_gemma":[0.9810557,0.00197501,0.01033713,0.000215744,0.00004934464,0.0001528841,0.004491822,0.00002656676,0.001695812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001168451,"threshold_uncertainty_score":0.003473282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081226844791689,"score_gpt":0.2987394049311476,"score_spread":0.2779271364832307,"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."}}