{"id":"W3193267775","doi":"10.7554/elife.67075","title":"Precise optical control of gene expression in C elegans using improved genetic code expansion and Cre recombinase","year":2021,"lang":"en","type":"article","venue":"eLife","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"H2020 European Research Council; Medical Research Council Canada; Louis-Jeantet Foundation; University of Edinburgh; Wellcome; Royal Society; National Institutes of Health; University of Cambridge; Wellcome Trust","keywords":"Optogenetics; Caenorhabditis elegans; Recombinase; Cre recombinase; Biology; Synthetic biology; Gene; Genetic code; Cell biology; Genetics; Site-specific recombination; Neuroscience; Computational biology; Transgene; Recombination; Genetically modified mouse","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":[0.0001502791,0.0001535491,0.0002347779,0.000037458,0.00004512197,0.00001845892,0.000103141,0.0001844793,0.00001438271],"category_scores_gemma":[0.0001377335,0.0001580705,0.00005611859,0.00005945531,0.00007143454,0.000004218071,0.0001010032,0.00009947228,9.513042e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001252354,"about_ca_system_score_gemma":0.0001221588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002107224,"about_ca_topic_score_gemma":0.00006165473,"domain_scores_codex":[0.9988276,0.00009469249,0.0003128168,0.0003945628,0.0001376669,0.0002326222],"domain_scores_gemma":[0.9992959,0.00001690319,0.000081559,0.0003631814,0.0001299912,0.0001124345],"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":[0.00006397585,0.0001203656,0.005655531,0.00003113241,0.00001313209,0.0000129507,0.0001744252,0.0006526022,0.9925556,0.000002631389,0.0000372158,0.0006804992],"study_design_scores_gemma":[0.001516626,0.0001552586,0.007820615,0.00003856198,0.00002766403,0.00003295055,0.0001029489,0.004957019,0.9849201,0.00002557869,0.0002273849,0.0001752515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954887,0.002928839,0.041782,0.00005502025,0.0001237536,0.0001693103,0.00002072096,0.000006130537,0.00002721781],"genre_scores_gemma":[0.9719626,0.0005603634,0.02710081,0.0001437066,0.00009528982,0.000007548292,0.00003130247,0.00002643499,0.00007199277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01707555,"threshold_uncertainty_score":0.6445928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058568223280123,"score_gpt":0.240882479313232,"score_spread":0.2302967970804307,"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."}}