{"id":"W4401905192","doi":"10.1007/978-1-0716-4108-8_7","title":"CRISPR-Mediated Library Screening of Gene-Knockout Cell Lines for Investigating Antiviral Innate Immunity","year":2024,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"CRISPR; Innate immune system; Biology; Functional genomics; Computational biology; Genome editing; Gene; Forward genetics; Immunity; Intrinsic immunity; Immune system; Genetics; Genomics; Genome","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007828649,0.0008168276,0.0008993333,0.0009948517,0.0005160791,0.0007599366,0.0008684948,0.0008040564,0.002874739],"category_scores_gemma":[0.0003795767,0.0004304346,0.0007788234,0.0006502917,0.000495753,0.0003385112,0.0004690556,0.001501141,0.001759815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005562142,"about_ca_system_score_gemma":0.0004712862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007688481,"about_ca_topic_score_gemma":0.001917128,"domain_scores_codex":[0.9993181,0.0001054335,0.00008617255,0.0001186276,0.000275668,0.00009608642],"domain_scores_gemma":[0.9996436,0.0001217735,0.00006811204,0.00006847979,0.00004514822,0.00005282481],"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":[0.00002861495,0.00002132569,0.00006650454,0.00003227613,0.000006705437,0.00004422876,0.00001386546,0.00009525935,0.9984792,0.000213752,0.00008859693,0.0009097838],"study_design_scores_gemma":[0.00001865051,0.00009198373,0.000751514,0.000007150844,0.00003306513,0.0002021799,0.00001902938,0.00144144,0.9935359,0.00008089676,0.003808846,0.000009478073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6744175,0.002642112,0.2924795,0.0007897159,0.0002997409,0.001286154,0.01391271,0.004060287,0.01011226],"genre_scores_gemma":[0.8667017,0.002195,0.1034743,0.0003264051,0.00003339176,0.0008854792,0.01142196,0.0006839895,0.01427776],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002874739,"threshold_uncertainty_score":0.009616911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105414676460726,"score_gpt":0.4040182548027716,"score_spread":0.3829641080381643,"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."}}