{"id":"W4386944492","doi":"10.3390/mps6050089","title":"High-Efficiency Transformation and Expression of Genomic Libraries in Yeast","year":2023,"lang":"en","type":"article","venue":"Methods and Protocols","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canadian Institutes of Health Research; Alliance de recherche numérique du Canada; Canada Foundation for Innovation; International Development Research Centre","keywords":"Electroporation; Transformation (genetics); Genomic library; Plasmid; Yeast; Transformation efficiency; genomic DNA; Genome; Biology; Saccharomyces cerevisiae; Computational biology; Expression cassette; DNA; Genetics; Molecular biology; Gene; Recombinant DNA; Agrobacterium; Base sequence","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":[0.0006421386,0.00006523522,0.000111329,0.00004932281,0.00003310052,0.00001625011,0.00005319368,0.00007850552,0.000009917496],"category_scores_gemma":[0.00003465953,0.00005359732,0.00001701705,0.00006603963,0.00003558536,0.000006727546,0.00004229296,0.00002801904,7.931601e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001171941,"about_ca_system_score_gemma":0.00001550889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006484914,"about_ca_topic_score_gemma":9.218076e-7,"domain_scores_codex":[0.9994036,0.0001739296,0.0001525594,0.0001353504,0.0000417831,0.00009279652],"domain_scores_gemma":[0.9998041,0.00002008508,0.00004349421,0.00009796293,0.000009048734,0.00002525543],"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":[0.00006508033,0.000008795073,0.0001451545,0.00007782086,0.00000157839,2.494088e-7,0.0001928912,0.000005780098,0.9335173,0.0007108286,0.00000968622,0.06526479],"study_design_scores_gemma":[0.0003070913,0.0001680512,0.003047827,0.00004810989,0.000001597771,0.00000138971,0.00007031862,0.00005618341,0.987862,0.003501995,0.004869027,0.00006643079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9204686,0.0001866783,0.065432,0.00008015612,0.00002412123,0.0135006,0.00001312802,0.00001329619,0.0002813635],"genre_scores_gemma":[0.7187549,0.0002089549,0.2521276,0.00005367311,0.00007687512,0.02849941,0.00002945546,0.00002750714,0.0002215664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2017137,"threshold_uncertainty_score":0.2185635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0300342149494606,"score_gpt":0.3479304746358691,"score_spread":0.3178962596864086,"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."}}