{"id":"W2932393079","doi":"10.3389/fmicb.2019.00562","title":"Multi-Laboratory Validation of a Loop-Mediated Isothermal Amplification Method for Screening Salmonella in Animal Food","year":2019,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"U.S. Food and Drug Administration; U.S. Department of Health and Human Services","keywords":"Loop-mediated isothermal amplification; Salmonella; Food science; Lactose; Biology; Food and drug administration; Biotechnology; Mathematics; Bacteria; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002653026,0.00009747852,0.0002350096,0.0002217659,0.000008667247,0.000004324613,0.00007083894,0.0002044138,0.000009037723],"category_scores_gemma":[0.00003646836,0.0001037882,0.00003925804,0.00024256,0.00002536683,0.00004779933,0.000008690746,0.0001235953,0.000004690583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005234438,"about_ca_system_score_gemma":0.00000861126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009492663,"about_ca_topic_score_gemma":0.00001084907,"domain_scores_codex":[0.9992724,0.00006980246,0.0002768109,0.0001777507,0.00001862397,0.0001846139],"domain_scores_gemma":[0.9997408,0.00005550682,0.00005219356,0.00009904434,0.00003458052,0.00001789395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000682798,0.00002439972,0.0135452,0.00005788681,0.00002370814,1.709398e-7,0.00007116314,0.00443283,0.9801368,0.00001215603,0.0001562963,0.001471081],"study_design_scores_gemma":[0.001917773,0.000234871,0.01487236,0.00004691598,0.00001493844,0.000001923858,0.0002509143,0.5232414,0.4581991,0.00004345437,0.0009375153,0.0002387689],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6411734,0.0001924953,0.3580612,0.00001537115,0.0002314261,0.0002249066,0.00006609888,0.00002574803,0.000009290962],"genre_scores_gemma":[0.847243,0.00001596237,0.1525868,0.00001699149,0.00001785421,0.00001310759,0.00007399185,0.00001852997,0.00001382768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5219377,"threshold_uncertainty_score":0.4232361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084423167940049,"score_gpt":0.2319216010463558,"score_spread":0.2210773693669553,"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."}}