{"id":"W4289878634","doi":"10.1093/noajnl/vdac078.013","title":"BSCI-14 THE ROLE OF ICAM1 IN GLIOBLASTOMA TUMOUR ASSOCIATED MACROPHAGES UNDER HYPOXIC CONDITIONS","year":2022,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"","keywords":"Biology; Macrophage; Cell; Cell culture; Cancer research; Cell type; Cell growth; Tumor microenvironment; Cell biology; Intracellular; Cancer cell; Cell migration; Cancer; In vitro; Tumor cells; Biochemistry","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":[0.0001022691,0.00018967,0.0001692482,0.0003304746,0.0002164724,0.000238041,0.0001264589,0.0003262812,0.003187649],"category_scores_gemma":[0.00006811195,0.00008001213,0.0001659403,0.000152804,0.0001237179,0.0001358543,0.000237947,0.0003280975,0.0007505346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002508147,"about_ca_system_score_gemma":0.0001750338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005054491,"about_ca_topic_score_gemma":0.0004096499,"domain_scores_codex":[0.9998997,0.0000100607,0.000005404189,0.0000125081,0.00002113216,0.00005117674],"domain_scores_gemma":[0.9999281,0.00000553784,0.00001387935,0.00000319032,0.00001553197,0.00003378133],"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":[0.0003934741,0.00004352691,0.001653986,0.000106848,0.000005509297,0.0001848916,0.00002634917,0.000022606,0.993959,0.0001742174,0.0003818176,0.00304777],"study_design_scores_gemma":[0.000117858,0.00186942,0.1476642,0.00009771258,0.00007957648,0.002230874,0.0004283513,0.001039856,0.8255438,0.000578018,0.02033598,0.00001425275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893343,0.005137637,0.0006896013,0.0003837743,0.00009106979,0.00003662991,0.0006070213,0.00004662493,0.003673455],"genre_scores_gemma":[0.9901651,0.002113675,0.0007525083,0.0002248143,0.00005036628,0.00006865981,0.001333408,0.00001048949,0.005280955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003187649,"threshold_uncertainty_score":0.01066375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005836449473969969,"score_gpt":0.2608316034414765,"score_spread":0.2549951539675065,"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."}}