{"id":"W2042840488","doi":"10.1186/1471-2199-8-77","title":"PlasmaDNA: a free, cross-platform plasmid manipulation program for molecular biology laboratories","year":2007,"lang":"en","type":"article","venue":"BMC Molecular Biology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Computer Research Institute of Montréal","funders":"Helsingin Yliopisto","keywords":"Cloning (programming); Computational biology; Restriction digest; Biology; In silico; Molecular cloning; Computer science; Primer (cosmetics); Synthetic biology; Restriction site; Plasmid; Genetics; DNA; Restriction enzyme; Programming language; Gene; Complementary DNA; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007814714,0.0005607898,0.0004649735,0.0002005888,0.0002703707,0.00005918166,0.0008594176,0.001107798,0.00002183745],"category_scores_gemma":[0.000515253,0.0005536081,0.0003756024,0.000375888,0.0005826725,0.00001034832,0.0004178048,0.000242686,0.00001472938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005648314,"about_ca_system_score_gemma":0.0002132564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003943614,"about_ca_topic_score_gemma":0.0001387069,"domain_scores_codex":[0.9966727,0.0001165452,0.0007786786,0.001251616,0.0001246101,0.001055865],"domain_scores_gemma":[0.9975695,0.00007971248,0.0003433079,0.001322121,0.0004507013,0.0002346515],"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":[0.0003217855,0.0001828116,0.009028215,0.00003818857,0.0001331888,0.00000750061,0.00001023672,0.00003685625,0.8698801,0.1165784,0.0006719898,0.003110737],"study_design_scores_gemma":[0.001632728,0.001537354,0.001083518,0.00001049973,0.00006104784,0.00005221279,0.00002702224,0.0001265785,0.8026586,0.02133693,0.1707692,0.0007043538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4216502,0.0006463751,0.5744569,0.0001271936,0.0002169626,0.001478127,0.0002236333,0.0001740729,0.001026553],"genre_scores_gemma":[0.8180589,0.00005193178,0.1750043,0.001468457,0.0003095244,0.0008424819,0.004003041,0.0001157352,0.0001456034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3994525,"threshold_uncertainty_score":0.9996915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619588502550573,"score_gpt":0.3623711031758639,"score_spread":0.3461752181503581,"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."}}