{"id":"W4387473048","doi":"10.2144/btn-2023-0042","title":"Playback Cloning: Simple, Reversible, Cost-effective Cloning for the Combinatorial Assembly of Complex Expression Constructs","year":2023,"lang":"en","type":"article","venue":"BioTechniques","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloning (programming); Computer science; Computational biology; Plasmid; Construct (python library); Usability; Multiple cloning site; Cloning vector; Biology; Expression vector; Recombinant DNA; Vector (molecular biology); Genetics; DNA; Programming language; Human–computer interaction; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001869543,0.00192208,0.001054288,0.001214139,0.0005844547,0.002046258,0.002013274,0.001074064,0.002787295],"category_scores_gemma":[0.001238268,0.001259923,0.0008168747,0.0007479054,0.001371916,0.00123513,0.001923423,0.00284498,0.002615869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007991795,"about_ca_system_score_gemma":0.0007644486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000618228,"about_ca_topic_score_gemma":0.001275535,"domain_scores_codex":[0.9979408,0.000266666,0.0001451437,0.0004259679,0.001029876,0.0001915208],"domain_scores_gemma":[0.9991436,0.0002223327,0.0002409506,0.0001876226,0.0000616422,0.000143813],"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":[0.0000882549,0.00007864112,0.0001574854,0.0002037049,0.00002449614,0.0001952367,0.00009802187,0.0002778803,0.9764794,0.002053441,0.0006196892,0.01972382],"study_design_scores_gemma":[0.0000137157,0.0001192522,0.0002564483,0.00001737844,0.00002359038,0.0004670748,0.00001803095,0.001354503,0.9864805,0.0002213263,0.01099888,0.00002918078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09881866,0.002543747,0.8868285,0.000330128,0.0002278588,0.001244143,0.0006329921,0.005607652,0.003766298],"genre_scores_gemma":[0.397338,0.004976323,0.5744535,0.0004074355,0.00009094987,0.001211946,0.00242571,0.002224777,0.01687135],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002787295,"threshold_uncertainty_score":0.009887218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257171078814457,"score_gpt":0.3474505850405466,"score_spread":0.324878874252402,"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."}}