{"id":"W4403747523","doi":"10.21203/rs.3.rs-5241196/v1","title":"Evaluation and Prioritization of Food Safety Risks in the Nigerian Red Meat Industry: A Cross-Sectional Study on Public Health Implications and Industry-Wide Practices","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Alberta","funders":"","keywords":"Food safety; Prioritization; Business; Food industry; Public health; Red meat; Environmental health; Marketing; Food science; Medicine; Process management","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":[0.003354332,0.0002756865,0.0002380171,0.0009343445,0.0006602178,0.0009398866,0.0003265236,0.0006046558,0.0008229818],"category_scores_gemma":[0.004365577,0.0003794041,0.0003609713,0.0008434433,0.0004678408,0.0006890938,0.0006910671,0.0006328392,0.0001379603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000942687,"about_ca_system_score_gemma":0.001437581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01222664,"about_ca_topic_score_gemma":0.01725109,"domain_scores_codex":[0.9987968,0.0004968691,0.0001402607,0.0001583371,0.0002267566,0.0001809376],"domain_scores_gemma":[0.9970174,0.0008828455,0.001225089,0.0001204179,0.0005398384,0.0002144235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005893141,0.0002218246,0.9928071,0.00002248875,0.00002230453,0.0001328353,0.00344385,0.00005111873,0.00041607,0.00004375307,0.00003494865,0.002744776],"study_design_scores_gemma":[0.000001510563,0.000307808,0.9839384,0.00003182776,0.00002107522,0.0001839236,0.01469907,0.0002682159,0.0002493608,0.00005422972,0.0002385814,0.000006069541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996465,0.00003937789,0.0000704088,0.00002632345,0.000001136807,0.000009503864,0.00001699364,4.431104e-7,0.0001892507],"genre_scores_gemma":[0.9994518,0.00008420103,0.0001568321,0.00001853315,8.989091e-7,0.000007376522,0.00002538381,5.027552e-7,0.0002545111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01222664,"threshold_uncertainty_score":0.02431095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4318178375888834,"score_gpt":0.5029274906060066,"score_spread":0.07110965301712319,"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."}}