{"id":"W3179482875","doi":"10.1038/s42003-021-02397-3","title":"Three-dimensional CRISPR screening reveals epigenetic interaction with anti-angiogenic therapy","year":2021,"lang":"en","type":"article","venue":"Communications Biology","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Peter MacCallum Cancer Centre; University of Melbourne; Medical Research Council; National Health and Medical Research Council; State Government of Victoria; Australian Government","keywords":"Epigenetics; Angiogenesis; Biology; CRISPR; Cancer research; Reprogramming; Cas9; Genetics; Cell; Gene","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":[0.0001457358,0.0001283636,0.0001374998,0.00005204787,0.0002176488,0.00001987835,0.0003805295,0.0001377573,0.00008363737],"category_scores_gemma":[0.00008328596,0.0001117165,0.00008275097,0.0001701014,0.000183289,0.000006140856,0.0002822466,0.0001321208,0.00002237781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001065527,"about_ca_system_score_gemma":0.00009053668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002821068,"about_ca_topic_score_gemma":0.0002244529,"domain_scores_codex":[0.9990608,0.000210585,0.000218346,0.0002851565,0.00005476706,0.0001703527],"domain_scores_gemma":[0.9982492,0.00004556291,0.0001099603,0.001312268,0.0002303119,0.00005265209],"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":[0.00005489772,0.0001444715,0.02524492,0.00000249013,0.0001528857,0.000001296202,0.00001744714,0.00004522825,0.9545091,0.0009459402,0.002041174,0.01684019],"study_design_scores_gemma":[0.001359326,0.0005243885,0.02710116,0.00005301212,0.00003562813,0.0001646334,0.0001006991,0.0005962169,0.6997739,0.0009176999,0.2688816,0.0004916881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259534,0.0210366,0.04685696,0.004052812,0.0002046511,0.0003726097,0.00002957775,0.00005211744,0.001441216],"genre_scores_gemma":[0.9768091,0.001279553,0.01965821,0.0007901639,0.00008777127,0.00005841995,0.001128397,0.00001856515,0.000169777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2668405,"threshold_uncertainty_score":0.4555665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04344702161719369,"score_gpt":0.3164502859979406,"score_spread":0.2730032643807468,"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."}}