{"id":"W4388588541","doi":"10.1093/neuonc/noad179.0470","title":"EPCO-05. SPATIOTEMPORAL MODELLING OF GLIOBLASTOMA FOR DRUG PREDICTION","year":2023,"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 Calgary","funders":"","keywords":"Tumor microenvironment; Cancer research; Downregulation and upregulation; Tumor progression; Microglia; Glioblastoma; Biology; Brain tumor; Computational biology; Neuroscience; Medicine; Immunology; Gene; Inflammation; Pathology; Tumor cells; 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":[0.000445194,0.0006954226,0.0005405243,0.0005100206,0.0002331427,0.0007892151,0.0006128401,0.001251303,0.01091024],"category_scores_gemma":[0.001029305,0.0002741009,0.001022328,0.00039197,0.0002589656,0.0003013331,0.0004720233,0.0006099691,0.001456581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112706,"about_ca_system_score_gemma":0.001560509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02823915,"about_ca_topic_score_gemma":0.0174529,"domain_scores_codex":[0.9998913,0.00003254931,0.000007050705,0.00002212017,0.00002870698,0.00001823291],"domain_scores_gemma":[0.9996636,0.0001563041,0.00004095363,0.00002602084,0.00008363021,0.00002938727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009051703,0.00004381783,0.001142962,0.0001009294,0.00003435826,0.00006939599,0.00001107196,0.9748633,0.001621242,0.004855592,0.005777275,0.01138962],"study_design_scores_gemma":[0.000005738937,0.00001138532,0.00009250381,0.000005079075,0.000002610321,0.000008552011,0.000001916027,0.9971715,0.0003170745,0.0006412326,0.001740559,0.000001949427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1889921,0.003072284,0.6803436,0.003343344,0.000695177,0.0006209363,0.0318157,0.01589367,0.07522319],"genre_scores_gemma":[0.8063074,0.001154017,0.1608223,0.0004106125,0.00009841994,0.0007693848,0.009589442,0.0008153182,0.0200332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02823915,"threshold_uncertainty_score":0.0561496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04295914583397537,"score_gpt":0.3062621970470207,"score_spread":0.2633030512130454,"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."}}