{"id":"W2985279967","doi":"10.47339/ephj.2019.36","title":"Can risk rating tool results be used to predict results of inspection categories of dairy processing plants?","year":2019,"lang":"en","type":"article","venue":"BCIT Environmental Public Health Journal","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"British Columbia Centre for Disease Control; British Columbia Institute of Technology","keywords":"Ranking (information retrieval); Risk assessment; Environmental health; Population; Risk analysis (engineering); Engineering; Operations management; Medicine; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001801632,0.0001353743,0.0002784535,0.00004133432,0.0004066301,0.00005232929,0.0002194663,0.00007155538,0.00006924335],"category_scores_gemma":[0.0001464781,0.00006439105,0.00007033091,0.0002066868,0.00007589286,0.0003420008,0.00007667469,0.0002951904,0.000006203948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001851398,"about_ca_system_score_gemma":0.00009352236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007919007,"about_ca_topic_score_gemma":0.0006134939,"domain_scores_codex":[0.9977055,0.0002229293,0.0008952879,0.0002562214,0.0005327893,0.0003873155],"domain_scores_gemma":[0.998647,0.0001161944,0.0008794293,0.00007704757,0.00002012891,0.0002602002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003343268,0.00122652,0.1037866,0.0001763028,0.0001094967,0.00001202957,0.01625519,0.001215307,0.1808021,0.00006869966,0.005979754,0.6870248],"study_design_scores_gemma":[0.002139594,0.003841005,0.952979,0.0001471318,0.000007664318,0.00007216354,0.009835506,0.0003211174,0.003867139,0.00006349918,0.02647093,0.0002552107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867932,0.00009757056,0.00001107361,0.01150687,0.0001754415,0.0002852545,0.0008585392,0.00002200032,0.0002500658],"genre_scores_gemma":[0.9989768,0.0001835837,0.0001763493,0.00025498,0.0001836496,0.00000276526,0.0001345979,0.000001915635,0.00008530731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8491925,"threshold_uncertainty_score":0.3127511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03613257548954203,"score_gpt":0.2414102443343385,"score_spread":0.2052776688447965,"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."}}