{"id":"W4388591133","doi":"10.1093/neuonc/noad179.1147","title":"TMIC-82. SPATIAL AND SINGLE-CELL PROTEOMIC LANDSCAPING OF THE HYPOXIC MICROENVIRONMENT IN GLIOBLASTOMA","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":"University of Toronto; Toronto Western Hospital; The Scarborough Hospital; Princess Margaret Cancer Centre","funders":"","keywords":"Mass cytometry; Biology; Immune system; Hypoxia (environmental); Tumor microenvironment; Pathology; Cancer research; Angiogenesis; Cell; Immunohistochemistry; Tumor hypoxia; Immunology; Medicine; Radiation therapy; Phenotype; Internal medicine; Chemistry","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":[0.00007440622,0.0001485458,0.0001441283,0.000179491,0.0001166364,0.0001840917,0.00007351608,0.000120301,0.0006095257],"category_scores_gemma":[0.00007028074,0.00006742975,0.00009347961,0.0001978557,0.00009124342,0.00007195737,0.00008632009,0.0001491004,0.0002794575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000158575,"about_ca_system_score_gemma":0.0001553535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008316899,"about_ca_topic_score_gemma":0.001387588,"domain_scores_codex":[0.999959,0.000004213691,0.000002854676,0.000009882753,0.00001142317,0.00001257316],"domain_scores_gemma":[0.9999781,0.000001917814,0.000004944726,0.000002602132,0.000004767098,0.000007798058],"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":[0.0001426856,0.00002124457,0.001009431,0.00002747752,0.000003553627,0.00005252138,0.00000959074,0.00007676255,0.9961934,0.0000279403,0.0001065833,0.002328747],"study_design_scores_gemma":[0.00002708585,0.0008913161,0.1099559,0.00001022866,0.00004595948,0.001224585,0.0001145379,0.003811558,0.8782985,0.00008804528,0.005522145,0.00001010782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934815,0.001493127,0.001725832,0.00008219748,0.00002203532,0.00004007223,0.001508996,0.00006167483,0.001584467],"genre_scores_gemma":[0.9928626,0.0008095995,0.002238282,0.00006173471,0.000008876307,0.00004479486,0.002370348,0.00001000785,0.001593748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008316899,"threshold_uncertainty_score":0.002039015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009624555154845863,"score_gpt":0.2251201950069586,"score_spread":0.2154956398521127,"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."}}