{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001672197,0.0001946392,0.0002110538,0.0000569402,0.00005388101,0.00001515106,0.0003023103,0.0002696578,0.00001633723],"category_scores_gemma":[0.0002640335,0.0001530376,0.0001154948,0.0001466556,0.00008278566,0.000002129934,0.00007385815,0.000179478,0.000003327029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001200521,"about_ca_system_score_gemma":0.00001972812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003044558,"about_ca_topic_score_gemma":0.00001714969,"domain_scores_codex":[0.9978835,0.001078692,0.0002840337,0.0003563033,0.00006649429,0.0003309922],"domain_scores_gemma":[0.9993441,0.00006098058,0.00005142655,0.0004461878,0.00003604338,0.00006128525],"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":[0.0000144844,0.00001274613,0.00008695199,0.000009405696,0.00002580093,4.479384e-7,0.00009229073,0.0004928985,0.9492691,0.001056239,0.0002443033,0.04869539],"study_design_scores_gemma":[0.0003320239,0.000118047,0.0001074875,0.000003991195,0.00001562953,0.00001727024,0.00004941742,0.00165215,0.8161995,0.0008733897,0.1804556,0.0001755036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02007344,0.001033558,0.9761132,0.0003099571,0.000359251,0.0002007355,0.0000184266,0.00001486031,0.001876577],"genre_scores_gemma":[0.2310944,0.0001306905,0.7662315,0.001431053,0.0002045419,0.000133365,0.0002149263,0.00006261668,0.0004969772],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2110209,"threshold_uncertainty_score":0.624069,"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."}}