{"id":"W4403096544","doi":"10.1007/978-1-0716-4220-7_26","title":"Assembling DNA Plasmids with the Multi-Kingdom (MK) Cloning System","year":2024,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Plasmid; Cloning (programming); Kingdom; Genetics; Biology; DNA; Computational biology; Computer science; 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":[0.001802201,0.001587924,0.002586735,0.002221658,0.001017433,0.001708289,0.002202978,0.001015602,0.008704222],"category_scores_gemma":[0.002530654,0.001775359,0.001774952,0.00229169,0.0006679476,0.001176409,0.002438063,0.004693288,0.01915908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005464166,"about_ca_system_score_gemma":0.0008329913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001103978,"about_ca_topic_score_gemma":0.002083966,"domain_scores_codex":[0.9980306,0.0003587317,0.0003061508,0.0004498276,0.000508738,0.0003459534],"domain_scores_gemma":[0.9984416,0.0004910547,0.0001862041,0.000442234,0.0001985149,0.0002404144],"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":[0.0004307283,0.0001372262,0.0006335704,0.000651493,0.00004916977,0.0001445661,0.0002672864,0.0002563966,0.9609337,0.001761046,0.003686105,0.03104874],"study_design_scores_gemma":[0.0001222162,0.0003289172,0.002199999,0.00008609646,0.0001701262,0.0004828586,0.00008432997,0.002878917,0.9208694,0.0007281844,0.07197201,0.00007699949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1108111,0.001850169,0.8348266,0.0008032265,0.0008057621,0.003175517,0.01769948,0.02044553,0.009582654],"genre_scores_gemma":[0.1726605,0.002257562,0.7391086,0.0005026464,0.0001231058,0.002501971,0.04827396,0.008336364,0.02623532],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008704222,"threshold_uncertainty_score":0.02911848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02279246737088034,"score_gpt":0.3601414723530129,"score_spread":0.3373490049821325,"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."}}