{"id":"W2084819217","doi":"10.1128/aem.00480-09","title":"Detection and Enumeration of<i>Clostridium difficile</i>Spores in Retail Beef and Pork","year":2009,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Clostridium difficile and Clostridium perfringens research","field":"Medicine","cited_by":179,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs; Public Health Agency; Public Health Agency of Canada","keywords":"Spore; Clostridium difficile; Food science; Contamination; Clostridium; Clostridiaceae; Food contaminant; Biology; Microbiology; Veterinary medicine; Bacteria; Antibiotics; Medicine; Toxin; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001029706,0.0001493386,0.000284828,0.0001047493,0.00005715499,0.000007706265,0.00002740595,0.0001611925,0.00003541253],"category_scores_gemma":[0.000007483368,0.0001362138,0.00002273327,0.00006894947,0.0002454132,0.00002535227,0.00005127322,0.0001888453,0.000003330133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004652193,"about_ca_system_score_gemma":0.00001028196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002983207,"about_ca_topic_score_gemma":0.00001005877,"domain_scores_codex":[0.9991463,0.00002130144,0.0002421304,0.0003193062,0.0000526667,0.0002183091],"domain_scores_gemma":[0.9997139,0.00003727768,0.00005276281,0.0001127871,0.000003234548,0.00008006394],"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":[0.0002576359,0.0001261123,0.003361499,0.00002445086,0.00001267806,0.000007439518,0.000122157,0.000001067529,0.9596097,0.00005334668,0.00001753365,0.03640638],"study_design_scores_gemma":[0.001844472,0.0006579931,0.06345794,0.00002132131,0.00003705552,0.0002297723,0.0003774941,0.00004095681,0.9319311,0.00007783973,0.001176634,0.0001474641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973943,0.00157664,0.00001028932,0.0003159425,0.00001806038,0.0003080259,0.00002561949,0.00001057268,0.0003405962],"genre_scores_gemma":[0.997582,0.001991022,0.00006382003,0.0001635485,0.00004116093,0.000008024214,0.00009252339,0.000009006611,0.00004890431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06009645,"threshold_uncertainty_score":0.5554638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007209805225303655,"score_gpt":0.2100178389153933,"score_spread":0.2028080336900897,"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."}}