{"id":"W3025263087","doi":"10.1021/acschembio.0c00253","title":"CRISPR-Based Screen Links an Inhibitor of Nonsense-Mediated Decay to eIF4A3 Target Engagement","year":2020,"lang":"en","type":"article","venue":"ACS Chemical Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Nonsense-mediated decay; CRISPR; Biology; RNA splicing; Exon; Genetics; Stop codon; Intron; RNA; Cell biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001349571,0.0001910502,0.0002546546,0.00003556236,0.0000242338,0.000005781291,0.0002645045,0.0004026038,0.0000402301],"category_scores_gemma":[0.0003269958,0.0001827681,0.00007963253,0.0001336798,0.00007868652,0.00000164361,0.0001690976,0.0002187197,0.00002133118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008954242,"about_ca_system_score_gemma":0.00005542678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001172478,"about_ca_topic_score_gemma":0.000002997931,"domain_scores_codex":[0.9987949,0.00006450359,0.0003027326,0.0004532106,0.00007886593,0.0003058172],"domain_scores_gemma":[0.9992231,0.00004647443,0.00005242941,0.0003018883,0.00008540393,0.0002907079],"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":[0.0001669472,0.00006026038,0.000997867,0.00002006568,0.00003309656,0.000002096528,0.00005888116,0.0002273533,0.9957362,0.00001809075,0.001938256,0.0007408684],"study_design_scores_gemma":[0.000579701,0.0006899156,0.0001443942,0.00000612552,0.00001379705,0.00000126643,0.00002871696,0.0002886961,0.9661466,0.000007891281,0.03188282,0.0002100385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747913,0.0002502575,0.02290769,0.001426545,0.00008940377,0.0002156484,0.000121247,0.00003482336,0.0001631076],"genre_scores_gemma":[0.9877431,0.00001773706,0.008340525,0.002683295,0.0003775332,0.00001879638,0.0007858687,0.00002601478,0.000007144177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02994457,"threshold_uncertainty_score":0.7453066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663877179675648,"score_gpt":0.3167857875125238,"score_spread":0.3001470157157674,"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."}}