{"id":"W4309018743","doi":"10.1093/neuonc/noac209.1116","title":"TMIC-73. HIGH-DIMENSIONAL HISTOPATHOLOGIC EVALUATION OF THE HYPOXIC MICROENVIRONMENT IN GLIOBLASTOMA","year":2022,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; Hamilton Health Sciences; Occupational Cancer Research Centre; University Health Network","funders":"","keywords":"Hypoxia (environmental); Pathology; Biology; Immunohistochemistry; Angiogenesis; Cell type; Cell; Mass cytometry; Tumor microenvironment; Cancer research; Phenotype; Medicine; Chemistry; Tumor cells","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":[0.0001718545,0.0001916327,0.0001894598,0.0009435096,0.000208131,0.0002735756,0.000101497,0.0001774613,0.0009138462],"category_scores_gemma":[0.0001193008,0.0001222475,0.0001224008,0.0004757681,0.0001368644,0.0001323891,0.000149076,0.0001698599,0.0002221059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002399267,"about_ca_system_score_gemma":0.0001783813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001797933,"about_ca_topic_score_gemma":0.002381187,"domain_scores_codex":[0.9999285,0.000008871678,0.00000604779,0.00001225887,0.00002431778,0.00001997287],"domain_scores_gemma":[0.9999211,0.000006618708,0.00001829419,0.000004926982,0.00002279132,0.0000263641],"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":[0.0002590851,0.00003009881,0.008131812,0.00005115032,0.00001388183,0.0002183149,0.00003230727,0.0002320327,0.9861102,0.00005575598,0.0001597845,0.004705547],"study_design_scores_gemma":[0.00001697394,0.0004756681,0.3018912,0.00001065528,0.0000923953,0.003040447,0.0002972281,0.01037611,0.6814077,0.0001242633,0.002241404,0.00002592233],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902604,0.00115122,0.005762542,0.00006660211,0.0000200701,0.00006164559,0.001055995,0.0001967886,0.001424558],"genre_scores_gemma":[0.9887079,0.0005803907,0.008779236,0.00003604703,0.000007718278,0.00005238113,0.0009390318,0.00001953884,0.0008777892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001797933,"threshold_uncertainty_score":0.003574908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0235950489544788,"score_gpt":0.2781064633221459,"score_spread":0.2545114143676671,"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."}}