{"id":"W6958868817","doi":"10.61093/hem.2021.3-02","title":"Ensuring Public Health: Monitoring of Hormone Residues in Poultry Meat","year":2021,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poultry meat; Consumption (sociology); Poultry farming; Agriculture; Control (management); Hormone","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00602274,0.000249633,0.0003066486,0.005962075,0.0008113215,0.002194347,0.0005504099,0.0005068001,0.002190548],"category_scores_gemma":[0.01057882,0.0001400097,0.0003617078,0.005415562,0.0007808725,0.001448924,0.0008730245,0.0004646786,0.0003745945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002009976,"about_ca_system_score_gemma":0.005547536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009302104,"about_ca_topic_score_gemma":0.01780597,"domain_scores_codex":[0.9953834,0.001844668,0.0005466123,0.0006134437,0.001449412,0.0001623313],"domain_scores_gemma":[0.9871678,0.004406129,0.003597622,0.0004125331,0.004284841,0.0001311764],"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":[0.0003467785,0.0002890747,0.346693,0.02262216,0.0004256867,0.0009445585,0.01561004,0.0007983985,0.01027098,0.0130366,0.007739897,0.5812228],"study_design_scores_gemma":[0.00002060109,0.0008234095,0.7605431,0.01022648,0.0007154543,0.0009956892,0.04825166,0.0008683789,0.01941388,0.006689374,0.1513575,0.00009446821],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7103948,0.1670734,0.01742149,0.01650012,0.0009850544,0.001267299,0.01374608,0.0001181583,0.07249371],"genre_scores_gemma":[0.9096583,0.05913422,0.02079397,0.001481643,0.0004055361,0.0005611324,0.002148789,0.00002294562,0.005793507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009302104,"threshold_uncertainty_score":0.03185165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4303246336762362,"score_gpt":0.5113985582230197,"score_spread":0.08107392454678353,"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."}}