{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001121586,0.0007346684,0.0009902121,0.001017566,0.0005954763,0.001341964,0.001547247,0.0009088763,0.003383611],"category_scores_gemma":[0.000995763,0.0009042171,0.000749804,0.0006022178,0.0004062265,0.001072765,0.00219219,0.001653045,0.005277019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005325985,"about_ca_system_score_gemma":0.0007222143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004884355,"about_ca_topic_score_gemma":0.0008153528,"domain_scores_codex":[0.9989328,0.000120624,0.00009787309,0.0003145945,0.0003855809,0.0001485541],"domain_scores_gemma":[0.9992489,0.00008221132,0.0001056563,0.0002166071,0.0001383715,0.0002082009],"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":[0.0002924468,0.00008864977,0.0006046493,0.0002205661,0.00002981938,0.0002916171,0.0001445395,0.001584427,0.9480831,0.005347076,0.003999679,0.03931331],"study_design_scores_gemma":[0.00008077202,0.0005772607,0.001448878,0.00007778548,0.00007078694,0.001145801,0.00007077223,0.0202243,0.8645434,0.001547397,0.1100914,0.0001214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1040908,0.001266355,0.8510784,0.0004646585,0.0004763106,0.0009808821,0.00340604,0.02853176,0.009704929],"genre_scores_gemma":[0.2251247,0.001361469,0.7489097,0.0003811015,0.00008127359,0.001231121,0.01181867,0.00173325,0.00935883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003383611,"threshold_uncertainty_score":0.01131928,"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."}}