{"id":"W2060756795","doi":"10.1038/nprot.2007.15","title":"Large-scale high-efficiency yeast transformation using the LiAc/SS carrier DNA/PEG method","year":2007,"lang":"en","type":"article","venue":"Nature Protocols","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":417,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Transformation (genetics); Yeast; Saccharomyces cerevisiae; Transformation efficiency; Plasmid; Genomic library; PEG ratio; DNA; Protoplast; Computational biology; Molecular biology; Chemistry; Biology; Cell biology; Computer science; Biochemistry; Gene; Base sequence; Agrobacterium","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001239379,0.0001664924,0.0001290808,0.00005562549,0.0002360483,0.00005761668,0.0003678445,0.0004648215,0.00003424262],"category_scores_gemma":[0.00006290583,0.0001139548,0.0001060906,0.0002654521,0.00005888279,0.000006724831,0.00009622059,0.0005089683,0.000007660113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002592578,"about_ca_system_score_gemma":0.0001206262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001133653,"about_ca_topic_score_gemma":0.00006972023,"domain_scores_codex":[0.9984577,0.0001182433,0.0002423403,0.0003103885,0.000402131,0.0004692557],"domain_scores_gemma":[0.9992157,0.00001718183,0.00006614378,0.0003825752,0.0002085188,0.0001098683],"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":[0.0002120021,0.00009257029,0.0002476672,0.00005442095,0.00002126948,0.000003205929,0.0003280327,0.0001763176,0.9946485,0.0003329044,0.0004521564,0.003430988],"study_design_scores_gemma":[0.0006199608,0.0001736874,0.0007084289,0.00002555068,0.000009326615,0.00001804244,0.0001957751,0.0008776985,0.8299538,0.0001020852,0.1671524,0.0001632696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5369569,0.0007897449,0.3764215,0.0007628105,0.0005684894,0.07768299,0.0003009777,0.0000580634,0.006458513],"genre_scores_gemma":[0.9809347,0.000008787918,0.008767819,0.00051676,0.0007964001,0.007667055,0.00008891449,0.0000461894,0.001173317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4439779,"threshold_uncertainty_score":0.4646941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576373665039952,"score_gpt":0.3712872066783656,"score_spread":0.355523470027966,"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."}}