{"id":"W4410763543","doi":"10.1139/bcb-2025-0096","title":"An artifact of recombinatorial cloning challenges established beliefs of plasmid cotransformation, selection, and maintenance","year":2025,"lang":"en","type":"article","venue":"Biochemistry and Cell Biology","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University; University of Manitoba; Research Institute in Oncology and Hematology; Children's Hospital Research Institute of Manitoba; CancerCare Manitoba","funders":"Children's Hospital Research Institute of Manitoba; Brandon University","keywords":"Plasmid; Cloning (programming); Selection (genetic algorithm); Transformation (genetics); clone (Java method); Computer science; Vector (molecular biology); Cloning vector; Computational biology; Biology; Genetics; DNA; Gene; Recombinant DNA; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01875904,0.001014626,0.001451721,0.001606036,0.001693693,0.003869168,0.002085034,0.001640918,0.001676405],"category_scores_gemma":[0.03060693,0.0006724483,0.0006225802,0.001733275,0.006961798,0.004149338,0.004063637,0.006410378,0.002206513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154512,"about_ca_system_score_gemma":0.001803905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005061438,"about_ca_topic_score_gemma":0.000651042,"domain_scores_codex":[0.982421,0.006039975,0.001696185,0.002283871,0.007013597,0.0005453854],"domain_scores_gemma":[0.9695476,0.01308745,0.004798614,0.009143354,0.002652418,0.0007706186],"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":[0.0007463198,0.0005875987,0.01391246,0.001599123,0.0001307918,0.002455841,0.004633751,0.0003992002,0.744453,0.121717,0.00479575,0.1045692],"study_design_scores_gemma":[0.0000483258,0.001584165,0.007166308,0.0005178734,0.0002164121,0.02009088,0.001582558,0.002669321,0.8113979,0.03706708,0.1175151,0.000144176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1682318,0.005438625,0.7956617,0.01319563,0.001449607,0.0005992189,0.0004750593,0.002681083,0.01226728],"genre_scores_gemma":[0.5699502,0.009472884,0.3953708,0.005690654,0.0004971485,0.0005742875,0.001653619,0.001715114,0.01507521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01875904,"threshold_uncertainty_score":0.09920847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004408621104773674,"score_gpt":0.2154291623050049,"score_spread":0.2110205412002313,"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."}}