{"id":"W2899994584","doi":"10.1093/neuonc/noy148.543","title":"IMMU-40. SINGLE-CELL LEVEL COMPARISON OF HISTOPATHOLOGY AND SINGLE-CELL RNA-SEQ DATABASES BETWEEN IDH-MUT AND –WT GLIOBLASTOMAS REVEALS DISTINCT INNATE IMMUNE MICROENVIRONMENTS THAT CAN BE EXPLOITED FOR THERAPEUTIC GAIN","year":2018,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Flow cytometry; Immune system; CD163; Biology; Glioma; Innate immune system; Cell; Microglia; Immunotherapy; CD68; Cancer research; Inflammation; Molecular biology; Phenotype; Immunology; Immunohistochemistry; Gene; Genetics","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":[0.003864444,0.001735843,0.002079183,0.002415001,0.001516954,0.002705841,0.001434676,0.001251255,0.008875495],"category_scores_gemma":[0.002789717,0.001270354,0.001535803,0.002278529,0.000962212,0.0008256508,0.00200616,0.001568135,0.006509757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190517,"about_ca_system_score_gemma":0.001645091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002321297,"about_ca_topic_score_gemma":0.006061321,"domain_scores_codex":[0.9972143,0.0002888847,0.0002205641,0.001345664,0.000678156,0.0002524888],"domain_scores_gemma":[0.9991547,0.0002929143,0.0001908558,0.0001330018,0.0001308862,0.00009766273],"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":[0.006210783,0.000616246,0.03039658,0.00863396,0.002300154,0.0006662349,0.002756917,0.007885683,0.7740194,0.006983098,0.0887164,0.07081465],"study_design_scores_gemma":[0.001009031,0.001925515,0.09561826,0.0007762944,0.001070847,0.001432836,0.0008782409,0.0972211,0.5622048,0.01221604,0.2251388,0.0005082481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2193708,0.006012302,0.1310336,0.0009092536,0.001072812,0.001122877,0.5565532,0.06627878,0.01764636],"genre_scores_gemma":[0.2610214,0.00218153,0.2842914,0.00185066,0.0002608386,0.007255121,0.4223976,0.01346643,0.007274873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008875495,"threshold_uncertainty_score":0.02969146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08957499304302995,"score_gpt":0.2964532249582816,"score_spread":0.2068782319152517,"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."}}