{"id":"W4387338477","doi":"10.1101/2023.10.03.560559","title":"CRISPR Screening in Tandem with Targeted mtDNA Damage Reveals WRNIP1 Essentiality","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"CRISPR; Mitochondrial DNA; Genetics; Tandem; Biology; Computational biology; Evolutionary biology; Engineering; Gene","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":[0.000168383,0.00043476,0.0003886857,0.0003762896,0.0001964117,0.0004809657,0.0003349801,0.0004816187,0.003049465],"category_scores_gemma":[0.00027526,0.0001909744,0.00027963,0.0002488476,0.0003292629,0.0001603882,0.0004583839,0.0009844332,0.0009463825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000380828,"about_ca_system_score_gemma":0.0002732427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001185345,"about_ca_topic_score_gemma":0.002612909,"domain_scores_codex":[0.9996375,0.00002837853,0.0000407964,0.0001011409,0.0001241678,0.00006801167],"domain_scores_gemma":[0.9996952,0.00008635564,0.00007937653,0.00004291122,0.00001908413,0.00007713531],"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":[0.00003180594,0.00001134264,0.0001035365,0.00001483414,0.000002885398,0.00007800712,0.00000812797,0.000063706,0.9989309,0.00004600165,0.0000484616,0.0006604619],"study_design_scores_gemma":[0.000004923162,0.00004336382,0.00198924,0.000002829791,0.000005317692,0.000216258,0.00001452579,0.0007119673,0.9954528,0.00003583967,0.001518028,0.0000049806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731839,0.0006520316,0.01649904,0.0003752584,0.00008720968,0.00008988735,0.003723218,0.001141745,0.004247705],"genre_scores_gemma":[0.9789729,0.0004106502,0.009630891,0.0001645505,0.000008294534,0.00004944651,0.002489414,0.0003104263,0.007963574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003049465,"threshold_uncertainty_score":0.01020145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394237702413222,"score_gpt":0.264559721907939,"score_spread":0.2506173448838068,"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."}}