{"id":"W2984113977","doi":"10.1093/neuonc/noz175.1000","title":"STEM-27. LEVERAGING FUNCTIONAL GENETIC DEPENDENCIES IN TREATMENT-REFRACTORY GLIOBLASTOMA","year":2019,"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 Toronto; McMaster University","funders":"","keywords":"CRISPR; Context (archaeology); Genome editing; Biology; Temozolomide; Gene knockout; Stem cell; Cancer research; Gene; Computational biology; Bioinformatics; Genetics; Glioblastoma","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":[0.0001960837,0.0002777014,0.0003611339,0.0003678376,0.0001544282,0.0003320372,0.0002432716,0.0002494187,0.002419278],"category_scores_gemma":[0.0001229742,0.0001082026,0.0002466318,0.0002507886,0.0002494251,0.0001031449,0.0002218551,0.0005314851,0.0004473014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004541339,"about_ca_system_score_gemma":0.0004007365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001265256,"about_ca_topic_score_gemma":0.002347966,"domain_scores_codex":[0.9999036,0.00001266124,0.00001013008,0.00001448777,0.00003555479,0.0000236488],"domain_scores_gemma":[0.9999357,0.000009577183,0.00001638396,0.00000707288,0.000007446607,0.00002383146],"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":[0.0006490977,0.0003893875,0.001071372,0.0002551799,0.00003451212,0.0006647023,0.00005991719,0.002169704,0.9698883,0.001108087,0.001643966,0.02206578],"study_design_scores_gemma":[0.000279018,0.003660946,0.007615699,0.0000455454,0.0001236755,0.001465674,0.00009798331,0.007363193,0.9486976,0.0005459793,0.0300741,0.00003059859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890237,0.002629263,0.002344466,0.0004060931,0.0001199314,0.000190624,0.001576494,0.0003331915,0.003376271],"genre_scores_gemma":[0.9926883,0.001391059,0.001704267,0.0001471046,0.00001107591,0.00009139003,0.001621958,0.00004921291,0.002295583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002419278,"threshold_uncertainty_score":0.008093238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02788102288946153,"score_gpt":0.2739538870222192,"score_spread":0.2460728641327577,"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."}}