{"id":"W4404876530","doi":"10.1016/j.foodcont.2024.111066","title":"Mycotoxins contaminations in Ethiopian food: Impacts, challenges, and mitigation strategies","year":2024,"lang":"en","type":"article","venue":"Food Control","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Mycotoxin; Environmental science; Food safety; Business; Environmental chemistry; Environmental health; Food science; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000214094,0.0001596839,0.000185453,0.00003112757,0.00008783038,0.0001942917,0.0001188804,0.0001651001,0.00005840333],"category_scores_gemma":[0.000036315,0.00006197333,0.00006374938,0.0002080503,0.00003947153,0.000311214,0.00002107988,0.0002198937,0.00001703487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002944813,"about_ca_system_score_gemma":0.00001626287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000370228,"about_ca_topic_score_gemma":0.01037666,"domain_scores_codex":[0.9989773,0.00008535846,0.0002123387,0.0003062321,0.0001564964,0.0002622964],"domain_scores_gemma":[0.9995093,0.0002799267,0.00003584806,0.00004639191,0.00003796209,0.00009057157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005059636,0.000193227,0.0007427256,0.0001505339,0.0001982896,0.00002687924,0.003234872,0.000007740643,0.1785763,0.485309,0.0005775667,0.3309323],"study_design_scores_gemma":[0.002024374,0.008113346,0.7808608,0.0006679347,0.0001270942,0.00009292981,0.01208787,0.0008627086,0.003272684,0.05244972,0.1382546,0.001185954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947247,0.03506448,0.00001748328,0.007651519,0.0002167888,0.0005634345,0.0001857805,0.0001826189,0.00887085],"genre_scores_gemma":[0.9980078,0.001305526,0.00001515799,0.000189789,0.0002958277,0.00008047714,0.00004723325,0.000001423566,0.00005672198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.780118,"threshold_uncertainty_score":0.5790423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507635370223463,"score_gpt":0.2163351826703927,"score_spread":0.2012588289681581,"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."}}