{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003328088,0.0005115774,0.0004216567,0.0005383914,0.0002444632,0.0004170567,0.0004264702,0.0005211746,0.003809697],"category_scores_gemma":[0.0002158846,0.0002443959,0.000643481,0.0002367465,0.0002392179,0.0001291644,0.0002872137,0.0005473225,0.00140003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005171834,"about_ca_system_score_gemma":0.0004167896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001900605,"about_ca_topic_score_gemma":0.002985313,"domain_scores_codex":[0.999689,0.00004033111,0.00003985489,0.00006822586,0.0001078792,0.00005485151],"domain_scores_gemma":[0.9998313,0.00003980643,0.00004276781,0.00002351468,0.00002528075,0.00003728041],"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":[0.00002707472,0.00004077624,0.0001288225,0.00002968524,0.000007528738,0.00008471407,0.000006414333,0.000184234,0.9978551,0.0002125327,0.0001682077,0.001254874],"study_design_scores_gemma":[0.00002463826,0.0003537518,0.002027915,0.000008138266,0.00003793389,0.0003726539,0.00001868964,0.002619109,0.986279,0.0001047227,0.008140165,0.00001320307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8562418,0.002077766,0.1068693,0.001049686,0.0003096781,0.001261494,0.01581212,0.003343026,0.01303517],"genre_scores_gemma":[0.9289148,0.001120426,0.03772552,0.0003810161,0.00002314495,0.0004240009,0.01208951,0.0003461242,0.01897551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003809697,"threshold_uncertainty_score":0.01274467,"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."}}