{"id":"W2066358656","doi":"10.1016/j.ab.2015.03.033","title":"Multiplex gene removal by two-step polymerase chain reactions","year":2015,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Illinois at Urbana-Champaign; Carnegie Institution for Science; McMaster University","keywords":"Restriction enzyme; Plasmid; Cloning (programming); Multiplex polymerase chain reaction; DNA ligase; Polymerase chain reaction; Ligase chain reaction; Synthetic biology; Gene; Molecular cloning; Biology; DNA; Computational biology; In vitro recombination; Inverse polymerase chain reaction; Sequencing by ligation; Restriction site; Restriction digest; Molecular biology; Genetics; Genomic library; Computer science; Complementary DNA; Base sequence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001857626,0.0002580227,0.0002164414,0.00003531302,0.0000709763,0.00003876621,0.0003170548,0.0005060171,0.00004888869],"category_scores_gemma":[0.0002649814,0.0002512667,0.0001362769,0.0001739866,0.000252827,0.000002763996,0.0002152018,0.0002011117,0.00004929392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003786396,"about_ca_system_score_gemma":0.0001439796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001043894,"about_ca_topic_score_gemma":0.000009021062,"domain_scores_codex":[0.9984092,0.00003513506,0.0003285973,0.0006086071,0.000187033,0.0004314542],"domain_scores_gemma":[0.9987257,0.00001038255,0.00009051515,0.0006595717,0.0001224542,0.0003914311],"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":[0.00009119727,0.0001241179,0.0001614768,0.000007328777,0.00007093723,0.00001785375,0.000002460673,0.000003734706,0.9768076,0.00005426673,0.02108463,0.001574417],"study_design_scores_gemma":[0.000840119,0.0001305394,0.00001518312,0.000005138994,0.0000337736,0.0001365276,0.00003866263,0.0005524103,0.8586041,0.00003002841,0.1393244,0.0002890938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927285,0.00113725,0.0008375622,0.001377971,0.0001895184,0.0001096265,0.0001390986,0.00005287006,0.003427616],"genre_scores_gemma":[0.9896771,0.0001123522,0.001998333,0.0004735333,0.0006215299,0.00001202447,0.000766933,0.00003331286,0.006304934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1182398,"threshold_uncertainty_score":0.999994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306492052958629,"score_gpt":0.2596234863842925,"score_spread":0.2465585658547062,"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."}}