{"id":"W4385578338","doi":"10.1093/noajnl/vdad070.004","title":"BSBM-07 HIGH-DIMENSIONAL HISTOPATHOLOGIC EVALUATION OF THE HYPOXIC MICROENVIRONMENT IN GLIOBLASTOMA","year":2023,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; McMaster University Medical Centre; University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Hypoxia (environmental); Pathology; Biology; Angiogenesis; Immunohistochemistry; Cell type; Mass cytometry; Cell; Tumor microenvironment; Cancer research; Tumour heterogeneity; Phenotype; Medicine; Chemistry; Cancer; Tumor cells; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003431968,0.0001036318,0.0001331139,0.00006230806,0.00006249743,0.00000237502,0.0001705507,0.00008193783,0.00005793241],"category_scores_gemma":[0.0001830059,0.00007742881,0.0000590944,0.0001656416,0.0002026994,0.000005300222,0.0001745927,0.00009599157,0.00004045882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001100421,"about_ca_system_score_gemma":0.0001434334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001800044,"about_ca_topic_score_gemma":0.0003731094,"domain_scores_codex":[0.9986748,0.0003189893,0.0001748591,0.0003128965,0.0002857888,0.0002326832],"domain_scores_gemma":[0.9995236,0.00004846379,0.00009566537,0.0002574039,0.00003960764,0.00003525057],"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":[0.0002703212,0.0001582959,0.01326713,0.000007916184,0.00001283568,0.00002844221,0.00001918426,0.003918306,0.9639006,0.000009911548,0.0008431036,0.0175639],"study_design_scores_gemma":[0.003431964,0.002020794,0.2128316,0.00001699566,0.00004572645,0.00004989179,0.00004540936,0.000270568,0.7492698,0.000937211,0.030911,0.0001690147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968532,0.00175869,0.000002839948,0.0005210114,0.0003115783,0.0003392292,0.00002375645,0.000007584937,0.0001821133],"genre_scores_gemma":[0.998919,0.0005445856,0.00005246829,0.000201332,0.00004721852,0.0001339111,0.00001979967,0.000009750484,0.00007197743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2146308,"threshold_uncertainty_score":0.3157455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784740822459328,"score_gpt":0.3107935297692497,"score_spread":0.2929461215446564,"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."}}