{"id":"W2407095443","doi":"10.4315/0362-028x-64.12.1973","title":"Classification of Grossly Detectable Abnormalities and Conditions Seen at Postmortem in Canadian Poultry Abattoirs According to a Hazard Identification Decision Tree","year":2001,"lang":"en","type":"article","venue":"Journal of Food Protection","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada; Université de Montréal; University of Guelph; Canadian Food Inspection Agency","funders":"Canadian Food Inspection Agency","keywords":"Identification (biology); Biology; Hazard; Decision tree; Hazard analysis; Tree (set theory); Botany; Ecology; Artificial intelligence; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001568573,0.0003274581,0.0002904659,0.0018924,0.0007406291,0.0007335002,0.0006811176,0.0005006851,0.001001633],"category_scores_gemma":[0.003890291,0.0002252507,0.0004793014,0.0007840235,0.0005283341,0.0002947994,0.0004089485,0.0003738151,0.000171163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00213308,"about_ca_system_score_gemma":0.003529318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3891511,"about_ca_topic_score_gemma":0.5521803,"domain_scores_codex":[0.9994524,0.00006323323,0.00005806648,0.00007804562,0.0001578191,0.0001903605],"domain_scores_gemma":[0.9967529,0.001018818,0.0005966838,0.00008739902,0.001111429,0.0004326605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005970745,0.00005125401,0.9869847,0.00002461193,0.00003901208,0.0001548279,0.0001644268,0.001346779,0.001369335,0.0000465378,0.0003972525,0.008824125],"study_design_scores_gemma":[0.00002165116,0.0002972936,0.9759024,0.00003343421,0.00008765602,0.0002512016,0.001155421,0.02008584,0.001551507,0.0001863874,0.0004063228,0.00002077629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977489,0.00009475467,0.0009595407,0.00005495602,0.000005262519,0.00004929835,0.0005167741,0.0000176382,0.0005529952],"genre_scores_gemma":[0.9975438,0.00007610575,0.001425003,0.0000232661,0.000002340685,0.00001033885,0.0005289495,0.000003494306,0.0003866753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6108489,"threshold_uncertainty_score":0.773772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02943869622094248,"score_gpt":0.2437918249190954,"score_spread":0.2143531286981529,"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."}}