{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001231947,0.00112163,0.0006294349,0.0006653065,0.0002837957,0.0009817689,0.0007211177,0.0005486871,0.0006826037],"category_scores_gemma":[0.0009176872,0.0003110277,0.0005539007,0.0006854156,0.0002921096,0.0005690801,0.0004953775,0.0008350425,0.0007882193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006379538,"about_ca_system_score_gemma":0.000414701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006053168,"about_ca_topic_score_gemma":0.0006965081,"domain_scores_codex":[0.9988534,0.0002733007,0.0001833836,0.0001658858,0.0004122503,0.0001117069],"domain_scores_gemma":[0.9992638,0.0001393287,0.0002257208,0.00009309738,0.0001701151,0.0001078505],"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":[0.0001079226,0.0001037655,0.0003093024,0.0001041058,0.00001401871,0.00005984938,0.0000284643,0.00010567,0.9931743,0.0001124993,0.00004988442,0.005830229],"study_design_scores_gemma":[0.00001454826,0.0003760026,0.0008295002,0.0000118906,0.00003382662,0.0002613426,0.00002643036,0.0004277863,0.9945384,0.00003525085,0.003436662,0.000008370918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8936356,0.00584132,0.09541496,0.0003430778,0.0001207223,0.000813487,0.001568673,0.000592762,0.001669415],"genre_scores_gemma":[0.7787374,0.005264619,0.1954263,0.0001195588,0.00004320113,0.0004218048,0.01410007,0.00039908,0.00548808],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001231947,"threshold_uncertainty_score":0.006515265,"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."}}