{"id":"W3202268534","doi":"10.1007/978-1-0716-1740-3_13","title":"Identification of Drug Resistance Genes Using a Pooled Lentiviral CRISPR/Cas9 Screening Approach","year":2021,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"CRISPR; Biology; Computational biology; Gene; Cas9; Genome editing; Genome; Genetics; Genetic screen; Phenotype","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":[0.0009340483,0.000174638,0.0002837136,0.0001074796,0.00003792581,0.00001303408,0.0002024761,0.0001870936,0.000004789639],"category_scores_gemma":[0.0003013326,0.0001959707,0.0001379952,0.0002869807,0.00009467822,0.000002957433,0.0001736733,0.0001201607,3.40938e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000131007,"about_ca_system_score_gemma":0.00005778465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001374501,"about_ca_topic_score_gemma":0.00001561946,"domain_scores_codex":[0.9979408,0.0007125997,0.0004635428,0.000526398,0.00007803,0.0002786556],"domain_scores_gemma":[0.9991786,0.00002920278,0.000134936,0.0004992389,0.0001183926,0.00003966028],"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":[0.00002760803,0.00004504758,0.0009418511,0.00005402813,0.00006067666,0.000007528133,0.00005140619,0.002775025,0.9913411,0.000379455,0.0000102728,0.00430598],"study_design_scores_gemma":[0.0003560061,0.00001531174,0.0003209026,0.00001754174,0.00003715028,0.00001709494,0.0001359754,0.003070079,0.9942353,0.0004314838,0.001165704,0.0001974021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.175811,0.009499835,0.814222,0.00003235448,0.0001320708,0.0001093576,0.000007914388,0.000007548424,0.000177884],"genre_scores_gemma":[0.2710111,0.000118953,0.7284307,0.00004601625,0.00004514681,0.00001635614,0.00006725253,0.00002458353,0.0002399014],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09520008,"threshold_uncertainty_score":0.7991455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266510570125842,"score_gpt":0.4145856804927474,"score_spread":0.391920574791489,"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."}}