{"id":"W1993903060","doi":"10.1038/nprot.2014.105","title":"Generation of a transgenic ORFeome library in Drosophila","year":2014,"lang":"en","type":"article","venue":"Nature Protocols","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Genetics; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"ORFS; Biology; Open reading frame; RNA interference; Drosophila melanogaster; Genetics; Integrase; Computational biology; Transgene; Genomic library; Gene; Genetic screen; Plasmid; Schneider 2 cells; Function (biology); Mutant; RNA; Peptide sequence","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":[0.00009024941,0.00008024016,0.00009595141,0.00004161917,0.000009955299,0.000008183993,0.000109993,0.0002426403,0.00001229871],"category_scores_gemma":[0.00002707594,0.00007583085,0.00004552346,0.000087869,0.00001360301,0.000003264238,0.0000221699,0.0001343246,0.000001151104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002258891,"about_ca_system_score_gemma":0.00002281994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.90311e-7,"about_ca_topic_score_gemma":0.000007103584,"domain_scores_codex":[0.9994897,0.00002657639,0.0001454418,0.0001639121,0.00007021466,0.0001042167],"domain_scores_gemma":[0.9997367,0.000004035798,0.00002757159,0.0001887578,0.00001533958,0.0000276433],"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":[0.00003452392,0.00003042659,0.001731868,0.00005596419,0.000005555873,2.662826e-7,0.00001965665,0.0004504096,0.9951835,0.0003045476,0.0006436988,0.001539581],"study_design_scores_gemma":[0.0005563804,0.0001761777,0.003446889,0.00002720709,0.000002127754,0.000001820018,0.000001601989,0.0004912339,0.9492254,0.0001276796,0.04584811,0.00009543406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591843,0.0006179931,0.007794838,0.0003764703,0.0001208337,0.02907872,0.00001745843,0.00003289688,0.002776485],"genre_scores_gemma":[0.9909189,0.000007427625,0.001551455,0.0001207351,0.0002794264,0.006937525,0.00004298049,0.00001613283,0.0001253923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04595816,"threshold_uncertainty_score":0.3092292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257450201549702,"score_gpt":0.3263070843282492,"score_spread":0.3137325823127522,"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."}}