{"id":"W4404305959","doi":"10.1158/1557-3265.liqbiop24-b069","title":"Abstract B069: Spatial and single-cell proteomic landscaping of the hypoxic microenvironment in glioblastoma","year":2024,"lang":"en","type":"article","venue":"Clinical Cancer Research","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","funders":"","keywords":"Glioblastoma; Tumor microenvironment; Cancer research; Hypoxia (environmental); Medicine; Biology; Pathology; Computational biology; Tumor cells; 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":[0.00006794062,0.0001359871,0.0001543974,0.0002301336,0.0001323637,0.0002046641,0.00007939155,0.0001282657,0.0006192042],"category_scores_gemma":[0.00007436976,0.00006695413,0.0001238768,0.0001632291,0.0001015302,0.00009551806,0.0001165623,0.0001524107,0.0002662247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001222839,"about_ca_system_score_gemma":0.0001101513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005753713,"about_ca_topic_score_gemma":0.0008126194,"domain_scores_codex":[0.9999622,0.000004056065,0.000002272845,0.000009614097,0.00001169377,0.00001021817],"domain_scores_gemma":[0.9999753,0.000002254943,0.000006117889,0.00000221043,0.000005958362,0.000008110933],"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":[0.0001507668,0.00001514635,0.001200073,0.00002700958,0.000004132659,0.00004668377,0.000009668302,0.00005846334,0.9961344,0.00002287548,0.00007663263,0.002254044],"study_design_scores_gemma":[0.00001616844,0.0006118277,0.147952,0.0000113618,0.00003736589,0.001347173,0.0001430221,0.003093726,0.8429903,0.000132511,0.003649829,0.00001467607],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944411,0.001099124,0.002277241,0.00007273847,0.00001955434,0.00002455962,0.001236617,0.00004476405,0.0007843542],"genre_scores_gemma":[0.9938853,0.0007197545,0.002940613,0.00004866943,0.00001087736,0.00003046771,0.001295107,0.0000101177,0.001059051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006192042,"threshold_uncertainty_score":0.00207144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05809141532808029,"score_gpt":0.37986134425617,"score_spread":0.3217699289280898,"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."}}