{"id":"W3115713778","doi":"10.1093/neuonc/noaa306","title":"Modeling human brain tumors in flies, worms, and zebrafish: From proof of principle to novel therapeutic targets","year":2020,"lang":"en","type":"review","venue":"Neuro-Oncology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Zebrafish; Biology; Danio; Model organism; Caenorhabditis elegans; Computational biology; Drosophila melanogaster; Genome; RNA interference; Neuroscience; Genetics; RNA; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005432019,0.0007899503,0.0008490041,0.001267296,0.0001518522,0.0006367053,0.0007922461,0.0008637728,0.001852359],"category_scores_gemma":[0.0004523648,0.0002546294,0.0005198955,0.000602645,0.0004389349,0.0007808384,0.0004799455,0.001911554,0.001032785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005524336,"about_ca_system_score_gemma":0.0005745307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008502253,"about_ca_topic_score_gemma":0.00166169,"domain_scores_codex":[0.9998621,0.00002247509,0.00001381279,0.00002356052,0.00006124175,0.00001674207],"domain_scores_gemma":[0.9998428,0.0000751848,0.00002070004,0.000006133727,0.00003802517,0.00001714033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008752216,0.00008887916,0.0001493478,0.01289852,0.000107813,0.0003302838,0.00006264652,0.0008952198,0.01415707,0.01073312,0.03596083,0.9245287],"study_design_scores_gemma":[0.00002599154,0.0001646344,0.0004865409,0.001787637,0.0001218928,0.001288588,0.00003410365,0.0001991185,0.003501244,0.002460927,0.989907,0.00002231582],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003557969,0.9962642,0.0008426288,0.0004208728,0.0002128357,0.00001309798,0.0000453178,0.00002941004,0.001815973],"genre_scores_gemma":[0.001734965,0.9962283,0.0007095898,0.0002967982,0.00006999855,0.00001658973,0.00006639095,0.00000479867,0.0008725241],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001852359,"threshold_uncertainty_score":0.006196797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03541518766050802,"score_gpt":0.3599964333821772,"score_spread":0.3245812457216692,"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."}}