{"id":"W106686416","doi":"10.1093/jaoac/89.2.543","title":"Modeling and Risk Assessment for Salmonella in Meat and Poultry","year":2006,"lang":"en","type":"article","venue":"Journal of AOAC International","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Risk assessment; Food chain; Salmonella; Food safety; Risk analysis (engineering); Risk management; Business; Environmental health; Biotechnology; Biology; Computer science; Ecology; Food science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009257804,0.0008772074,0.0007662814,0.0006040058,0.000583583,0.001300668,0.001062153,0.001872308,0.002568586],"category_scores_gemma":[0.002388555,0.0005384622,0.001034532,0.0003862004,0.000617048,0.0008464718,0.0008975348,0.0008226987,0.000331539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136566,"about_ca_system_score_gemma":0.001386563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05529064,"about_ca_topic_score_gemma":0.01945304,"domain_scores_codex":[0.9996461,0.0001582962,0.00001382898,0.00004765009,0.0000739543,0.00006017037],"domain_scores_gemma":[0.9990977,0.0005913222,0.00009275634,0.00002307246,0.0001465421,0.00004864914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001024773,0.000007968685,0.0004820285,0.000008726311,0.000007933584,0.00002687811,0.00001259786,0.9971585,0.0001230596,0.00134032,0.0001086624,0.0007130519],"study_design_scores_gemma":[0.000003260588,0.000009213429,0.0001279423,0.000002391071,0.000004022555,0.000007617483,0.00001015347,0.998425,0.00005201228,0.001169795,0.0001858697,0.000002698185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5197849,0.002021335,0.439308,0.002500328,0.0002175802,0.0001642881,0.001450285,0.0005363983,0.03401697],"genre_scores_gemma":[0.9705814,0.0006279881,0.01396628,0.00009584423,0.00005039397,0.0001401927,0.0003482663,0.0000647514,0.01412485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05529064,"threshold_uncertainty_score":0.1099376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820435798862329,"score_gpt":0.2739076073704284,"score_spread":0.2557032493818051,"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."}}