{"id":"W3041444211","doi":"10.1007/s12161-020-01803-6","title":"Strategy to Detect Genetically Modified Bacteria Carrying Tetracycline Resistance Gene in Fermentation Products","year":2020,"lang":"en","type":"article","venue":"Food Analytical Methods","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituut voor Landbouw-, Visserij- en Voedingsonderzoek, Vlaamse Overheid; FOD Volksgezondheid, Veiligheid van de Voedselketen en Leefmilieu; Université Laval","keywords":"Tetracycline; Bacteria; Fermentation; Genetically modified organism; Biotechnology; Microbiology; Biology; Gene; Chemistry; Food science; Genetics; Antibiotics","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":[0.0004909229,0.0002362363,0.0003139577,0.00003833403,0.00006253335,0.00003990889,0.0002700753,0.00008549903,0.0007136993],"category_scores_gemma":[0.0005709326,0.0002120684,0.00006322301,0.000693931,0.0001475939,0.0001594771,0.0002266996,0.0002550202,0.0002550077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564736,"about_ca_system_score_gemma":0.00001371269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001245096,"about_ca_topic_score_gemma":0.00001555557,"domain_scores_codex":[0.9976659,0.0003247501,0.0004550065,0.0006846225,0.0003374575,0.000532268],"domain_scores_gemma":[0.9989747,0.0001016184,0.00005254083,0.00021923,0.000006085367,0.0006458097],"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":[0.0001571813,0.00009123465,0.001174314,0.00002847716,0.00001776212,0.0000221599,0.0001186785,0.004494704,0.9580593,0.00008671569,0.00006597705,0.03568346],"study_design_scores_gemma":[0.001012666,0.001097193,0.2335257,0.00003737361,0.00007752619,0.00000594138,0.00005992948,0.03287396,0.7276071,0.00145759,0.00158803,0.0006569303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541476,0.00004990546,0.03736486,0.004106638,0.00006473458,0.0004287836,0.00001635442,0.00004131736,0.003779847],"genre_scores_gemma":[0.7888279,0.00001248326,0.209401,0.001493738,0.0000730936,0.000006231439,0.000004928398,0.00001984939,0.0001608428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2323514,"threshold_uncertainty_score":0.8647897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028157361050989,"score_gpt":0.3829769114783871,"score_spread":0.2801611753732882,"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."}}