{"id":"W7132926378","doi":"","title":"Characterizing Molecular Alternations in Glioma Growth and Progression","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Glioma; Epigenetics; Somatic cell; Gene; Stage (stratigraphy); Mutation; Germline mutation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001151639,0.0001473754,0.0001119896,0.000622251,0.0001167977,0.0002575667,0.0001012767,0.0001719959,0.001254137],"category_scores_gemma":[0.0001261782,0.00009180241,0.000128203,0.0004533062,0.0000902699,0.0001415445,0.0001061897,0.0002792993,0.0004300175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002004988,"about_ca_system_score_gemma":0.0002060135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005977423,"about_ca_topic_score_gemma":0.001207476,"domain_scores_codex":[0.9999382,0.000005635865,0.000002907648,0.00001762767,0.00002235182,0.00001320477],"domain_scores_gemma":[0.9999554,0.000007103932,0.00001366904,0.000002868549,0.00001153268,0.00000930199],"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":[0.0002846292,0.00006616101,0.006274621,0.0001322729,0.00001413728,0.00007526468,0.00006036197,0.0002282602,0.9597168,0.0003049252,0.0002869853,0.03255552],"study_design_scores_gemma":[0.00002766336,0.00105837,0.282777,0.00003184358,0.00007216469,0.0007395445,0.0002011268,0.001429585,0.6974781,0.0009195296,0.01524837,0.00001683296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972706,0.01076175,0.005932797,0.0002213042,0.00003487101,0.0001240342,0.00216174,0.0001161632,0.007941384],"genre_scores_gemma":[0.9714822,0.01011034,0.00599819,0.0001049055,0.00003450154,0.0001304171,0.002148261,0.00002986746,0.009961409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001254137,"threshold_uncertainty_score":0.004195511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934957018139668,"score_gpt":0.3645501448077396,"score_spread":0.345200574626343,"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."}}