{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003278225,0.0004581433,0.0008486688,0.0001378297,0.0002289359,0.00002519124,0.0003391912,0.0003913128,0.00001256054],"category_scores_gemma":[0.00009003488,0.0004635375,0.0001269408,0.0001010125,0.001051391,0.00001605491,0.0002936803,0.0002613092,0.00000204002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009376198,"about_ca_system_score_gemma":0.00008412993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001530075,"about_ca_topic_score_gemma":0.0002891626,"domain_scores_codex":[0.9972245,0.0003874389,0.0007392206,0.0008814529,0.0001584496,0.0006089566],"domain_scores_gemma":[0.9982834,0.0003302612,0.0005446238,0.0005610149,0.0001030661,0.0001776065],"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":[0.0008611339,0.0006961942,0.03905241,0.0001270309,0.00004527562,0.00001033073,0.0004530922,0.000001861456,0.9509389,0.000005426953,0.0003133627,0.00749498],"study_design_scores_gemma":[0.003264335,0.005956441,0.004787001,0.00002731078,0.0002070279,0.00004724223,0.0002374488,0.00004842596,0.9424019,0.00003885761,0.04256888,0.0004150606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911882,0.002191488,0.004239115,0.0003971379,0.0004309034,0.0006466919,0.0006282593,0.00002517649,0.0002530818],"genre_scores_gemma":[0.9957806,0.0002775234,0.002086784,0.000769601,0.0002306905,0.00004328412,0.0005774084,0.00009270496,0.0001413398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04225552,"threshold_uncertainty_score":0.9997816,"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."}}