{"id":"W4235666967","doi":"10.1007/978-1-4939-1363-3_1","title":"Yeast Transformation by the LiAc/SS Carrier DNA/PEG Method","year":2014,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":257,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Transformation (genetics); Yeast; Protocol (science); Transformation efficiency; DNA; Computational biology; Computer science; Microtiter plate; Biology; Molecular biology; Genetics; Gene; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004563574,0.001267583,0.001436453,0.001090211,0.0006794102,0.000777924,0.001186704,0.0005233692,0.00470106],"category_scores_gemma":[0.0003345907,0.000466879,0.0007099251,0.001098172,0.0005783723,0.000323426,0.0008440595,0.001946256,0.005728712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005078739,"about_ca_system_score_gemma":0.001049912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002525073,"about_ca_topic_score_gemma":0.002763494,"domain_scores_codex":[0.9994681,0.00007448391,0.00007239725,0.0001353746,0.0001559825,0.00009355997],"domain_scores_gemma":[0.9996948,0.00004844605,0.00005335646,0.00009597077,0.00004792454,0.00005948661],"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":[0.0002162527,0.00009597004,0.0001874088,0.0001799236,0.00002322927,0.000140169,0.00009192123,0.0001209301,0.9859453,0.001252447,0.00118823,0.01055822],"study_design_scores_gemma":[0.00003308718,0.0000703713,0.0003993027,0.00001103194,0.0000276746,0.0001490113,0.00001798332,0.0005734948,0.9786922,0.0001543031,0.01985515,0.00001638114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4201086,0.003730084,0.5003892,0.001562297,0.001105976,0.002642338,0.01292815,0.02141785,0.03611551],"genre_scores_gemma":[0.6668646,0.006155349,0.2014437,0.0004379266,0.0001524956,0.001840295,0.02924026,0.00399248,0.08987296],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00470106,"threshold_uncertainty_score":0.01572657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008353399979741575,"score_gpt":0.3997997867788791,"score_spread":0.3914463867991375,"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."}}