{"id":"W2060199659","doi":"10.1111/j.1365-2672.2006.02898.x","title":"Construction and evaluation of food-grade vectors for Lactococcus lactis using aspartate aminotransferase and alpha-galactosidase as selectable markers","year":2006,"lang":"en","type":"article","venue":"Journal of Applied Microbiology","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Health Agency of Canada; Dairy Management","keywords":"Lactococcus lactis; Biology; Multiple cloning site; Transformation (genetics); Selectable marker; Plasmid; Shuttle vector; Replicon; Lactococcus; Lactobacillus helveticus; Cloning (programming); Bifidobacterium longum; Expression vector; Cloning vector; Gene; Lactobacillus; Molecular biology; Microbiology; Genetics; Vector (molecular biology); Bacteria; Recombinant DNA; Bifidobacterium","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004636087,0.0001123636,0.0002435897,0.00003457737,0.00008993331,0.00002046535,0.0000527333,0.0001189447,0.00002092022],"category_scores_gemma":[0.00001213773,0.00005416389,0.00005319156,0.00009920658,0.0001197242,0.00005864313,0.00001299559,0.0000964186,1.481294e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003407784,"about_ca_system_score_gemma":0.00002894993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004774913,"about_ca_topic_score_gemma":0.00009140465,"domain_scores_codex":[0.9992363,0.00005058393,0.0003348874,0.0001426687,0.00006143248,0.0001740624],"domain_scores_gemma":[0.9993743,0.0001144901,0.000287381,0.00002168368,0.0001560525,0.00004613215],"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":[0.0002939272,0.0000518237,0.0007576896,0.00001369625,0.00005143104,3.428288e-7,0.00002068829,0.00003591026,0.9912242,0.0004766877,0.00003762249,0.007035953],"study_design_scores_gemma":[0.00233197,0.001944526,0.01257574,0.00003823288,0.0003364182,0.000355326,0.0002157251,0.0002864092,0.9756528,0.004374174,0.001663084,0.0002256252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989703,0.0002678162,0.00006998149,0.00009269603,0.00008464715,0.0003674641,0.00004496862,0.000004216291,0.00009786312],"genre_scores_gemma":[0.9989882,0.00004466897,0.0008288827,0.0000294383,0.00007426643,0.00000394087,0.00002622761,0.000001464943,0.000002883799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01557146,"threshold_uncertainty_score":0.2208739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856474924158496,"score_gpt":0.2351080074602709,"score_spread":0.2165432582186859,"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."}}