{"id":"W2189004918","doi":"10.15232/s1080-7446(15)30857-3","title":"REVIEW: Animal Identification Systems in North America","year":2008,"lang":"en","type":"article","venue":"The Professional Animal Scientist","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Colorado Department of Agriculture; U.S. Department of Agriculture","keywords":"Traceability; Identification (biology); Livestock; Outbreak; Animal health; Disease control; Beef industry; Business; Environmental health; Disease; Disease surveillance; Limiting; Veterinary medicine; Medicine; Geography; Biology; Agricultural science; Engineering; Virology; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007485813,0.0001331354,0.0001919643,0.00001281296,0.0006777548,0.00003671183,0.0005824412,0.00004290339,0.0002582595],"category_scores_gemma":[0.0001274717,0.00004227233,0.00007677928,0.001121867,0.0003555599,0.0001834739,0.0001657781,0.0002163038,0.0002496144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005892668,"about_ca_system_score_gemma":0.00002777135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006548491,"about_ca_topic_score_gemma":0.001391848,"domain_scores_codex":[0.9980584,0.0003185841,0.0003988398,0.0004018602,0.000491626,0.0003306362],"domain_scores_gemma":[0.9993512,0.0001813588,0.0001582494,0.0001174634,0.0001039499,0.00008778799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004915018,0.001712092,0.429558,0.0004554649,0.00002379893,0.00006455302,0.001119397,0.00003393316,0.4123583,0.000850316,0.1367224,0.01661031],"study_design_scores_gemma":[0.00005604928,0.0001155928,0.9634966,0.0001250558,0.000004263433,0.00002624033,0.0002047844,0.0002118697,0.00007790194,0.00002432501,0.03553206,0.0001253054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868051,0.004617729,5.637124e-7,0.007254114,0.0003672344,0.0006399345,0.00007741551,0.00004750532,0.0001903522],"genre_scores_gemma":[0.9979156,0.0004174652,0.00001160265,0.0005085652,0.000145031,0.00009026756,0.00009159683,9.845273e-7,0.0008188523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5339386,"threshold_uncertainty_score":0.5212811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041207984464596,"score_gpt":0.2651430513204681,"score_spread":0.2347309714758221,"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."}}