{"id":"W3112296607","doi":"10.1093/neuonc/noaa215.962","title":"TMOD-11. APPLICATION OF A NOVEL TRANSGENIC AND SYNGENEIC MOUSE MODELS OF HUMAN CLASSICAL GLIOBLASTOMA FOR DRUG SCREENING AND PRE-CLINICAL TRIALS","year":2020,"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":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Cancer research; CDKN2A; Biology; Genetically modified mouse; Epigenetics; Transgene; Pathology; Medicine; Cancer; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008757047,0.001030355,0.0008793963,0.0007192591,0.0002536517,0.0007527386,0.0006169519,0.0009059591,0.003079252],"category_scores_gemma":[0.0001567438,0.0003876965,0.0006254826,0.0005499578,0.0004431023,0.0004640759,0.0002487233,0.001860974,0.0008887779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007049419,"about_ca_system_score_gemma":0.001056902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114221,"about_ca_topic_score_gemma":0.003125621,"domain_scores_codex":[0.9996421,0.0000756496,0.000031686,0.00007225374,0.00008169662,0.0000965501],"domain_scores_gemma":[0.9998243,0.00001341323,0.00004454767,0.00002140597,0.00003179694,0.00006450513],"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":[0.006104439,0.00406142,0.0005591684,0.0006424736,0.0001514757,0.0002135457,0.00006202699,0.001241656,0.9565871,0.0009666624,0.002632677,0.02677741],"study_design_scores_gemma":[0.006399998,0.08308768,0.003742029,0.00009150165,0.0005492357,0.000749047,0.00008763081,0.002493046,0.8569169,0.0003460024,0.04547786,0.00005906337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457924,0.01058013,0.01568317,0.001270789,0.0007825873,0.004720994,0.01172801,0.0008938655,0.008548053],"genre_scores_gemma":[0.9214956,0.01263668,0.02146177,0.0007704612,0.000106184,0.006875381,0.01471737,0.000127033,0.02180957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003079252,"threshold_uncertainty_score":0.01030117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1445148284966045,"score_gpt":0.4137151379110642,"score_spread":0.2692003094144597,"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."}}