{"id":"W2765306825","doi":"10.1128/mcb.00302-17","title":"A High-Resolution Genome-Wide CRISPR/Cas9 Viability Screen Reveals Structural Features and Contextual Diversity of the Human Cell-Essential Proteome","year":2017,"lang":"en","type":"article","venue":"Molecular and Cellular Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Université de Montréal; McGill University; University Health Network; Institute for Research in Immunology and Cancer","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Government of Canada; National Institutes of Health; Canada Research Chairs","keywords":"Biology; CRISPR; Genetics; Gene; Genome; Computational biology; Proteome; Ribosome biogenesis; Ribosome; RNA","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":[0.0001752304,0.0002539931,0.0002918054,0.000277202,0.0001495033,0.0002748831,0.0001670932,0.0002003473,0.0005844947],"category_scores_gemma":[0.0002518088,0.0001422317,0.0002050202,0.0002138298,0.0001723735,0.00008761922,0.0002144475,0.0002452268,0.0002387146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001660008,"about_ca_system_score_gemma":0.0001936555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007648403,"about_ca_topic_score_gemma":0.001737529,"domain_scores_codex":[0.9998471,0.00001537957,0.00001371516,0.0000567251,0.00004467567,0.00002240204],"domain_scores_gemma":[0.9998744,0.0000438798,0.00002667759,0.00002003428,0.0000111618,0.0000237781],"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":[0.0000740929,0.000008632051,0.001371669,0.00001365735,0.000008120839,0.00008836151,0.00001014785,0.0001912254,0.9963351,0.00004095917,0.00003749041,0.00182052],"study_design_scores_gemma":[0.00001854625,0.0002181871,0.05388592,0.000005752346,0.00005079452,0.001293642,0.00003793837,0.003679692,0.9382831,0.000143699,0.00236608,0.00001659417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902175,0.0003092212,0.007281684,0.00004086614,0.000004208177,0.00001500641,0.001526071,0.0001732839,0.0004320958],"genre_scores_gemma":[0.9871144,0.0002500029,0.009858536,0.00005661319,0.000003130578,0.00001823357,0.002106972,0.00005119089,0.0005407684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007648403,"threshold_uncertainty_score":0.001955271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00592442357926305,"score_gpt":0.2595944571809329,"score_spread":0.2536700336016699,"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."}}