{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009669763,0.0007974412,0.0007715226,0.0009177891,0.0005697719,0.0008599247,0.0009534849,0.0005112377,0.001878275],"category_scores_gemma":[0.000550651,0.0004538902,0.0007673373,0.001048588,0.0004114023,0.0003484227,0.0008264025,0.001429048,0.002388148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005307409,"about_ca_system_score_gemma":0.0004997446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001041338,"about_ca_topic_score_gemma":0.00183669,"domain_scores_codex":[0.9990558,0.0001723093,0.0001331794,0.0001746551,0.0003700007,0.00009408289],"domain_scores_gemma":[0.9997389,0.00005166995,0.00003516193,0.00007140805,0.00006741476,0.00003537683],"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":[0.00004842589,0.00003917951,0.00007812604,0.0001695045,0.00001070238,0.00008309393,0.00004154132,0.000306827,0.9931907,0.0006581523,0.0003873789,0.004986373],"study_design_scores_gemma":[0.00001672799,0.0001094582,0.0007071829,0.00002249933,0.00002119948,0.0002308645,0.00002661136,0.001658606,0.9742317,0.0002555362,0.022697,0.00002258993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2453506,0.003909818,0.7124129,0.0003750846,0.0004018744,0.002654474,0.01832592,0.006105258,0.01046399],"genre_scores_gemma":[0.4311017,0.006463466,0.4879868,0.0002511095,0.00006698494,0.002715186,0.04840496,0.002111848,0.0208978],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001878275,"threshold_uncertainty_score":0.006283402,"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."}}