{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004618039,0.0006098932,0.0004204081,0.0009047704,0.0005597699,0.0005065911,0.0008292028,0.0007511685,0.004406997],"category_scores_gemma":[0.0002362671,0.0005724721,0.0006203478,0.0004093499,0.0004104851,0.0003842762,0.0006949917,0.001832549,0.002463953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006532487,"about_ca_system_score_gemma":0.0004152724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001318034,"about_ca_topic_score_gemma":0.003913089,"domain_scores_codex":[0.9996716,0.00002994827,0.00003992446,0.00008988805,0.0001065024,0.00006218678],"domain_scores_gemma":[0.9997767,0.0000525334,0.00004354179,0.00004175199,0.00002656111,0.00005898113],"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":[0.00004707497,0.00003100579,0.0001190459,0.00007187426,0.00001091,0.00008465741,0.00003499749,0.0001034437,0.9962685,0.00067109,0.0003145473,0.00224284],"study_design_scores_gemma":[0.00004446278,0.00006343812,0.002014602,0.00001925484,0.00003190821,0.0002229619,0.00002986317,0.001252137,0.9790676,0.0001465571,0.01709315,0.00001416036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7333769,0.001710249,0.1969238,0.001351192,0.0006346971,0.002396239,0.02804276,0.004006634,0.03155751],"genre_scores_gemma":[0.7667767,0.002285623,0.1279608,0.0008975479,0.00006523934,0.001509832,0.02509078,0.001576913,0.07383668],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004406997,"threshold_uncertainty_score":0.01474285,"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."}}