{"id":"W4311273975","doi":"10.1016/j.xpro.2022.101930","title":"Streamlined high-throughput cloning protocol to generate arrayed mutant libraries","year":2022,"lang":"en","type":"article","venue":"STAR Protocols","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Prion Research Institute; Canada Foundation for Innovation; BrightFocus Foundation","keywords":"Cloning (programming); Mutagenesis; Computational biology; Pipeline (software); Mutant; clone (Java method); Computer science; Protocol (science); Biology; Genetics; Gene; Operating system; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002398847,0.002204881,0.001860252,0.002143172,0.001054339,0.001540879,0.002767356,0.0009956127,0.01267693],"category_scores_gemma":[0.00175322,0.001674859,0.001493006,0.001524296,0.0007029112,0.0008421888,0.001454967,0.004705618,0.0207059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007102492,"about_ca_system_score_gemma":0.001786655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379233,"about_ca_topic_score_gemma":0.003670344,"domain_scores_codex":[0.9968208,0.0004611958,0.0004057221,0.0005983962,0.001439182,0.0002747217],"domain_scores_gemma":[0.998732,0.0002449757,0.000117641,0.0004314155,0.0003389849,0.0001349823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002246285,0.000256509,0.0003745697,0.0004544016,0.00009066951,0.0001989401,0.0001330625,0.001112292,0.9464463,0.001957749,0.01813284,0.03061793],"study_design_scores_gemma":[0.00011113,0.0002811656,0.001270303,0.00006283801,0.0001118647,0.0005849619,0.00003119911,0.007462651,0.8662481,0.0010927,0.1226038,0.0001392265],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0171091,0.000730601,0.9368797,0.0003384603,0.0005054754,0.003882391,0.01369897,0.02194865,0.004906799],"genre_scores_gemma":[0.04878858,0.002162512,0.8406141,0.0006037518,0.0001144783,0.01110014,0.06056795,0.005618031,0.03043042],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01267693,"threshold_uncertainty_score":0.04240853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921328700485468,"score_gpt":0.287649386251077,"score_spread":0.2684360992462223,"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."}}