{"id":"W2131573135","doi":"10.15252/msb.20156373","title":"Extensive mapping of an innate immune network with CRISPR","year":2015,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; CRISPR; Innate immune system; Computational biology; Immune system; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003074362,0.0001939676,0.0003101484,0.00005677217,0.0000285058,0.00001138252,0.000208634,0.0001989568,0.000001416476],"category_scores_gemma":[0.00004756719,0.0001661777,0.00005877259,0.000145395,0.00008816961,0.000002734664,0.00009755982,0.00008225969,0.000003700222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001080402,"about_ca_system_score_gemma":0.00006823792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001202066,"about_ca_topic_score_gemma":0.00001194165,"domain_scores_codex":[0.9987648,0.0001486811,0.0003092411,0.0003537546,0.00009154309,0.0003319806],"domain_scores_gemma":[0.9989619,0.000005726608,0.0001264308,0.0005189458,0.0002573736,0.0001296657],"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":[0.00008589671,0.00002727479,0.001202732,0.00004055969,0.0001417464,0.00003013053,0.00008918007,0.03396717,0.963145,0.000487035,0.0001855098,0.0005977778],"study_design_scores_gemma":[0.002975053,0.00399542,0.002703192,0.0001782431,0.00008968727,0.0006414278,0.001188399,0.004335921,0.9247932,0.0002123455,0.05780399,0.001083139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.742072,0.008816377,0.2477772,0.0000271832,0.0004029791,0.0002561675,0.000008860642,0.00002101502,0.0006181906],"genre_scores_gemma":[0.9970871,0.00002710569,0.002331017,0.00006891856,0.0002143609,0.00003045982,0.0001283793,0.00003418496,0.00007848204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2550151,"threshold_uncertainty_score":0.677653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072319862058296,"score_gpt":0.2873912667598775,"score_spread":0.2766680681392946,"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."}}