{"id":"W3016846979","doi":"10.3389/fmicb.2020.00602","title":"A New Whole Genome Culture-Independent Diagnostic Test (WG-CIDT) for Rapid Detection of Salmonella in Lettuce","year":2020,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; York University; Health Canada; Université Laval; McGill University; Canadian Food Inspection Agency","funders":"Ministry of Agriculture, Food and Rural Affairs; Ministère de la Défense Nationale; Ontario Ministry of Agriculture, Food and Rural Affairs; Government of Canada; Canadian Food Inspection Agency","keywords":"Salmonella; Salmonella enterica; Food safety; Biology; Biotechnology; Contaminated food; Food microbiology; Ion semiconductor sequencing; Food science; Contamination; DNA sequencing; Bacteria; Microbiology; Gene; Genetics","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":[0.001304584,0.001606756,0.001030327,0.001607617,0.000432767,0.001021104,0.001088735,0.001558738,0.001302621],"category_scores_gemma":[0.001812964,0.0004505674,0.001101781,0.0009356207,0.0008972407,0.00061325,0.001272866,0.001284235,0.001305285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005774436,"about_ca_system_score_gemma":0.0007447117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001435708,"about_ca_topic_score_gemma":0.003175264,"domain_scores_codex":[0.9981013,0.0002554422,0.0001032273,0.0006837808,0.0007181614,0.0001380866],"domain_scores_gemma":[0.9988782,0.0001957774,0.0002420721,0.0001776535,0.0002789447,0.0002272522],"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":[0.0003245246,0.0001159105,0.01480637,0.0003305818,0.00005275736,0.0002127322,0.0000904852,0.0004445139,0.9531485,0.0001556424,0.001012091,0.02930583],"study_design_scores_gemma":[0.00008899021,0.001796667,0.0508819,0.0001056551,0.0002037214,0.002831375,0.0002105168,0.01247869,0.9134765,0.0003448596,0.01743251,0.000148628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5509433,0.004047659,0.4066561,0.001374226,0.0009604071,0.001672274,0.0197575,0.007851735,0.006736722],"genre_scores_gemma":[0.4825581,0.001928426,0.4808249,0.001642328,0.0001387575,0.0009332409,0.02360502,0.0003414351,0.008027791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001607617,"threshold_uncertainty_score":0.006899357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397658998610784,"score_gpt":0.2067542710796964,"score_spread":0.1927776810935886,"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."}}