{"id":"W2164998058","doi":"10.1534/genetics.113.160846","title":"Simultaneous Expression of Multiple Proteins Under a Single Promoter in <i>Caenorhabditis elegans</i> via a Versatile 2A-Based Toolkit","year":2013,"lang":"en","type":"article","venue":"Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondation Générale de Santé; University of British Columbia; Centre National de la Recherche Scientifique; Fondation ARC pour la Recherche sur le Cancer; Institute of Genetics; Fondation pour la Recherche Médicale","keywords":"Caenorhabditis elegans; Biology; Computational biology; Translation (biology); Genetics; Plasmid; Caenorhabditis; Gene; Cell biology; Messenger RNA","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055201,0.0001846582,0.0001679306,0.0000610758,0.00002661305,0.00001879975,0.0001745491,0.0001743187,0.00005582792],"category_scores_gemma":[0.00006635587,0.0001864179,0.00006839063,0.0001076912,0.00005186003,0.000003547119,0.00007966226,0.00008755114,0.0000110616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001967721,"about_ca_system_score_gemma":0.00004772346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006056057,"about_ca_topic_score_gemma":0.0001720584,"domain_scores_codex":[0.9989133,0.00003402786,0.000285702,0.0003102035,0.0001534452,0.0003033513],"domain_scores_gemma":[0.9993333,0.00003026977,0.00006844821,0.0003955236,0.00009143144,0.00008099556],"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":[0.00002286865,0.0001499167,0.00132334,0.00005251495,0.000008024719,0.000003174156,0.00006984182,0.04404996,0.9508641,4.00448e-7,0.000171813,0.003284039],"study_design_scores_gemma":[0.0008456631,0.0004221836,0.001349407,0.00004695944,0.000008130991,0.000004980575,0.00004732671,0.01327399,0.9812006,0.00003118158,0.002546345,0.0002232751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9214641,0.000417065,0.07725188,0.00006351266,0.00007554447,0.0005981148,0.00001884978,0.0000149135,0.00009597001],"genre_scores_gemma":[0.9844741,0.00001679859,0.01505822,0.00009777534,0.00008406533,0.00007823243,0.00006141481,0.00003843104,0.00009092164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06300999,"threshold_uncertainty_score":0.7601901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005919542962265736,"score_gpt":0.2306827171950435,"score_spread":0.2247631742327778,"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."}}