{"id":"W2512423205","doi":"10.5539/jas.v8n9p217","title":"Detection of Emerging Food Pathogens in Chicken Meat Using Multiplex Polymerase Chain Reaction","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Campylobacter jejuni; DNA extraction; Campylobacter; Agarose gel electrophoresis; Listeria monocytogenes; Polymerase chain reaction; Multiplex polymerase chain reaction; Biology; Campylobacter coli; Listeria; Molecular biology; Microbiology; DNA; Bacteria; Gene; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00209548,0.001297362,0.001128668,0.001759151,0.0002656334,0.000957834,0.001004749,0.0008618322,0.0008708826],"category_scores_gemma":[0.001236439,0.0007565305,0.0006836822,0.001071995,0.0004427151,0.0007991567,0.0006435482,0.000833799,0.0006770468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003028423,"about_ca_system_score_gemma":0.0003043355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003567447,"about_ca_topic_score_gemma":0.0007259308,"domain_scores_codex":[0.9960114,0.0007237941,0.0004026748,0.001599234,0.000999561,0.0002634014],"domain_scores_gemma":[0.9989901,0.0003269411,0.0002616975,0.00008914244,0.0002565272,0.00007558554],"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":[0.0001989219,0.0001440783,0.004451591,0.000310827,0.00004780156,0.0001723593,0.0002358323,0.0004052437,0.9705734,0.0001627514,0.0001128739,0.02318434],"study_design_scores_gemma":[0.00003878349,0.002764345,0.01670954,0.0001954046,0.0002327032,0.001988943,0.0003647334,0.02228486,0.9455491,0.0003638485,0.009404848,0.0001029853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7025192,0.005848843,0.2839892,0.000241679,0.0003276448,0.0008921951,0.001560924,0.001156331,0.003464109],"genre_scores_gemma":[0.5351349,0.003503594,0.4523885,0.0002441183,0.0000883638,0.001440286,0.002178888,0.00005867651,0.004962689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00209548,"threshold_uncertainty_score":0.01108205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03020885559655649,"score_gpt":0.2454465975237344,"score_spread":0.2152377419271779,"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."}}