{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001868184,0.0001839472,0.0002249482,0.00002490509,0.000583257,0.00003044738,0.000331693,0.0002179865,0.000007463569],"category_scores_gemma":[0.00007532611,0.0001460192,0.0001027978,0.00002163949,0.000496029,0.000004672759,0.001012108,0.0001295963,2.804997e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000697673,"about_ca_system_score_gemma":0.00001521054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004429336,"about_ca_topic_score_gemma":0.00006275364,"domain_scores_codex":[0.9989861,0.0001161109,0.0001804089,0.000397232,0.0000830204,0.0002370824],"domain_scores_gemma":[0.9991281,0.000007772992,0.0001415507,0.0005875814,0.00006174585,0.00007324155],"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":[0.00003561509,0.00001289352,0.03600198,0.00004195533,0.00004527675,0.000003077367,0.00005454366,0.00002953476,0.9634175,0.0002193583,0.00002490541,0.0001133067],"study_design_scores_gemma":[0.0005963824,0.0001718589,0.220051,0.000006160556,0.00004943362,0.000009770245,0.00002731379,0.00001401227,0.7782241,0.000533825,0.0001512571,0.000164893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902684,0.00165777,0.007328969,0.0001208469,0.0001051045,0.0003630341,0.00005854219,0.000006082106,0.00009125764],"genre_scores_gemma":[0.9993687,0.00002846562,0.0002689756,0.00005630216,0.00007691076,0.000006772448,0.00007769454,0.00001207015,0.000104168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1851935,"threshold_uncertainty_score":0.5954489,"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."}}