{"id":"W4295532939","doi":"10.1016/j.csbj.2022.09.012","title":"The application of genome-wide CRISPR-Cas9 screens to dissect the molecular mechanisms of toxins","year":2022,"lang":"en","type":"review","venue":"Computational and Structural Biotechnology Journal","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Fundamental Research Funds for the Central Universities; Guangzhou Municipal Science and Technology Project; Terry Fox Foundation; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"CRISPR; Computational biology; Biology; Genome editing; Cas9; Genome; Gene; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004553632,0.0007525503,0.001018635,0.00244561,0.000215641,0.0008664147,0.0006374147,0.0008120171,0.001914096],"category_scores_gemma":[0.0004573491,0.0003251096,0.0005625144,0.001515582,0.0003957826,0.0007999879,0.0005185933,0.00147645,0.001431738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005743995,"about_ca_system_score_gemma":0.0007409478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007492115,"about_ca_topic_score_gemma":0.001097806,"domain_scores_codex":[0.9997815,0.00002534774,0.00002076513,0.00004428488,0.000107463,0.00002062327],"domain_scores_gemma":[0.9997844,0.000108845,0.00002451799,0.000009823555,0.00005335356,0.00001896703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006292643,0.00007539319,0.0002889149,0.01633629,0.0001148415,0.0003593853,0.00006230367,0.001338528,0.03977856,0.009495416,0.0177322,0.9143553],"study_design_scores_gemma":[0.00001463416,0.0001315797,0.001070395,0.001444388,0.0001574305,0.001505938,0.00004474188,0.000535161,0.01709959,0.003378461,0.9745724,0.00004549174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001131806,0.9886093,0.004334139,0.0004394298,0.0002872376,0.00002751764,0.0001135949,0.000116068,0.004940885],"genre_scores_gemma":[0.00385282,0.9919041,0.002149135,0.0002386389,0.00007270605,0.00002245215,0.0001397318,0.00001142299,0.001608939],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00244561,"threshold_uncertainty_score":0.006403267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009805921734420315,"score_gpt":0.3055846665891806,"score_spread":0.2957787448547603,"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."}}