{"id":"W2962481287","doi":"10.1038/s41598-019-46171-2","title":"A unified multi-kingdom Golden Gate cloning platform","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Ludwig-Maximilians-Universität München; Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung","keywords":"Golden gate; Cloning (programming); Kingdom; Computer science; Computational biology; Biology; Medicine; Paleontology; Programming language","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":[0.0009603818,0.0001518742,0.0001618785,0.00006071463,0.0001479841,0.0001594855,0.0002000949,0.0001167366,0.0001329607],"category_scores_gemma":[0.0001170898,0.0001305263,0.0001106234,0.000156256,0.00007099753,0.000009372361,0.0001730124,0.00007894517,0.00008638336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001421858,"about_ca_system_score_gemma":0.0001645982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002042879,"about_ca_topic_score_gemma":0.00002109371,"domain_scores_codex":[0.9982095,0.00001444704,0.0003517224,0.0007987674,0.0002790619,0.0003464747],"domain_scores_gemma":[0.9985458,0.000005217649,0.0002425741,0.0009641463,0.0001291253,0.0001130989],"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":[0.00001280381,0.00003578576,0.0004220226,0.00001874035,0.00001529838,0.00004445053,0.00005667346,0.00007331958,0.9982746,0.0001245388,0.0005224538,0.0003993082],"study_design_scores_gemma":[0.0002056737,0.0000536327,0.00006356946,0.00002525596,0.000008757077,0.0002157174,0.00006648646,0.0003744751,0.8800821,0.001148643,0.1175722,0.0001834668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903744,0.00007414277,0.001752707,0.00002353768,0.00414622,0.0002789461,0.000002832156,0.00002656789,0.003320593],"genre_scores_gemma":[0.9816299,0.000005128425,0.001030333,0.00006930588,0.00006194644,0.00001468558,0.0001092179,0.00002142464,0.01705805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1181925,"threshold_uncertainty_score":0.5322707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767466933890282,"score_gpt":0.2551799371007104,"score_spread":0.2375052677618075,"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."}}