{"id":"W4317829694","doi":"10.1038/s41467-023-35802-y","title":"A CRISPR-Cas9 screen identifies EXO1 as a formaldehyde resistance gene","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"CIHR Skin Research Training Centre; Government of Canada","keywords":"CRISPR; Gene; Genome editing; Genetics; Computational biology; Resistance (ecology); Biology","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":[0.0001953157,0.0006548701,0.0004129548,0.0005327059,0.0002396405,0.0003615756,0.0004197163,0.0006499112,0.002481363],"category_scores_gemma":[0.0001849294,0.0001866412,0.0003599775,0.0002755619,0.0002208878,0.0001562038,0.0003800617,0.0005406337,0.0005970109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003121673,"about_ca_system_score_gemma":0.000235412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104441,"about_ca_topic_score_gemma":0.001968927,"domain_scores_codex":[0.9997603,0.00001905882,0.00002553287,0.00008114114,0.00008006002,0.00003393765],"domain_scores_gemma":[0.9998268,0.00005316231,0.00004577291,0.00001669468,0.00001803345,0.00003959438],"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":[0.00005627704,0.00002534301,0.0004159485,0.00004304812,0.00001003522,0.0002553107,0.00001094246,0.0001242057,0.9969655,0.00009503868,0.0001057578,0.001892567],"study_design_scores_gemma":[0.0000179332,0.0001565998,0.008604283,0.000012614,0.00006213981,0.0008935332,0.00004099888,0.002514785,0.981844,0.00007071821,0.005765272,0.00001717425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584858,0.001114057,0.02701555,0.0003726135,0.0001048069,0.0001699618,0.00632902,0.001040913,0.005367306],"genre_scores_gemma":[0.9690196,0.0007917234,0.01387972,0.0002264204,0.000008093839,0.00009165842,0.005423047,0.0002006639,0.01035915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002481363,"threshold_uncertainty_score":0.00830102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01906816384952333,"score_gpt":0.3164219531811834,"score_spread":0.2973537893316601,"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."}}