{"id":"W3047501588","doi":"10.1093/noajnl/vdaa073.025","title":"37. IN VIVO FUNCTIONAL GENOMIC SCREEN TO IDENTIFY NOVEL DRIVERS OF LUNG-TO-BRAIN METASTASIS","year":2020,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"CRISPR; Brain metastasis; Metastasis; Lung cancer; Primary tumor; Cancer research; In vivo; Medicine; Lung; Cas9; Cancer; Biology; Pathology; Gene; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009975649,0.0001411148,0.0002217665,0.00007079352,0.00002779114,0.000005682676,0.0002011282,0.0000874133,0.00005727318],"category_scores_gemma":[0.0002579854,0.0001550516,0.00007093709,0.0002053488,0.00004363365,0.000006598294,0.0001682928,0.0001000682,0.0000110587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002000582,"about_ca_system_score_gemma":0.00005963465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007001392,"about_ca_topic_score_gemma":0.00009067516,"domain_scores_codex":[0.9989882,0.00003734724,0.0002426039,0.0004064792,0.0001021604,0.0002231897],"domain_scores_gemma":[0.9995347,0.00005916406,0.00005346116,0.0001589103,0.00004625272,0.0001475302],"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":[0.000165459,0.00003323386,0.003471231,0.00001796368,0.00002722197,0.00000627111,0.00009566057,0.0382528,0.9526318,0.0000301455,0.003293163,0.001975012],"study_design_scores_gemma":[0.001001172,0.001097495,0.01820071,0.0000075542,0.00002851824,0.00001277864,0.0001412389,0.0002824261,0.6976876,0.00001382777,0.2812918,0.0002349681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345261,0.000717754,0.06063272,0.002799259,0.0003708644,0.0003224598,0.00009893025,0.00001584974,0.0005160867],"genre_scores_gemma":[0.9907268,0.0001078539,0.005138293,0.003729117,0.0001922556,0.00002956744,0.00001946417,0.00002105909,0.00003562307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2779986,"threshold_uncertainty_score":0.6322821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588293592738044,"score_gpt":0.3282018852184738,"score_spread":0.3123189492910933,"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."}}