{"id":"W4414378502","doi":"10.1093/af/vfaf039","title":"Applying insights from metrics on circular livestock bioeconomy systems","year":2025,"lang":"en","type":"article","venue":"Animal Frontiers","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Livestock; Animal health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008107294,0.0002146426,0.0002355308,0.00008051891,0.0002270888,0.00007532154,0.000282467,0.0001364723,0.0002056617],"category_scores_gemma":[0.00003823853,0.00017568,0.0001011299,0.0004007819,0.0001761586,0.0002940451,0.0001583467,0.000187144,0.0005218891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009101468,"about_ca_system_score_gemma":0.00001073798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001579117,"about_ca_topic_score_gemma":0.000008871696,"domain_scores_codex":[0.9987053,0.00006655834,0.0002241983,0.0004791815,0.0002229623,0.0003018146],"domain_scores_gemma":[0.9994565,0.00004779168,0.00006817241,0.0002889451,0.000003558184,0.0001349876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003057299,0.0007741766,0.7274686,0.00008420723,0.0004249526,0.00008743704,0.001393222,0.01432824,0.01610552,0.002736933,0.2172696,0.01902141],"study_design_scores_gemma":[0.0006024996,0.0003536609,0.4886533,0.000038873,0.0001012816,0.000001986664,0.00720055,0.002945156,0.001500307,0.002287504,0.4957201,0.0005947218],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556475,0.001414329,0.00477819,0.0002047651,0.0005209463,0.0009138878,0.00001302159,0.00007646427,0.03643085],"genre_scores_gemma":[0.9974145,0.0000338897,0.000633312,0.000501358,0.00004674877,0.0001148886,0.00001882418,0.00001077054,0.00122569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2784505,"threshold_uncertainty_score":0.7164022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006608701022966858,"score_gpt":0.2028218109772832,"score_spread":0.1962131099543163,"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."}}