{"id":"W4417431496","doi":"10.3389/frsus.2025.1628164","title":"Economic and circular economy analysis of including potato waste in beef feedlot diets: a Canadian case study","year":2025,"lang":"en","type":"article","venue":"Frontiers in Sustainability","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Canadian Association of Thoracic Surgeons; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Beef Cattle Research Council","keywords":"Feedlot; Greenhouse gas; Beef cattle; Profitability index; Livestock; Sustainability; Agriculture; Production (economics); Municipal solid waste","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":[0.001010159,0.0006530125,0.0004157583,0.001211493,0.001367651,0.00180104,0.00111166,0.0008041285,0.003279738],"category_scores_gemma":[0.001812079,0.0003385297,0.001118114,0.001940354,0.00125002,0.0006670029,0.0007129686,0.0005657743,0.00009312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03556111,"about_ca_system_score_gemma":0.01484313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9253638,"about_ca_topic_score_gemma":0.9308026,"domain_scores_codex":[0.9992685,0.0001740962,0.00001445053,0.00006627614,0.0001368078,0.0003399863],"domain_scores_gemma":[0.9991246,0.000397888,0.00008057091,0.00005102979,0.0002497291,0.0000962089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005586018,0.0003635507,0.06227154,0.0002706131,0.0002139297,0.002285285,0.000320363,0.8806041,0.003076045,0.02507788,0.001976711,0.02298134],"study_design_scores_gemma":[0.0002218101,0.000680049,0.126652,0.0001487213,0.0004566596,0.0005449354,0.006007249,0.8304406,0.00387602,0.0104842,0.02031479,0.0001729251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716164,0.0004456049,0.004358302,0.0005217267,0.00001094603,0.000253428,0.002085214,0.00003517954,0.02067313],"genre_scores_gemma":[0.9923776,0.000388527,0.003896458,0.00002977993,0.000002989732,0.00004059625,0.0004422897,0.000009317506,0.002812383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07463622,"threshold_uncertainty_score":0.2580151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005077716044193102,"score_gpt":0.2391544706417157,"score_spread":0.2340767545975226,"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."}}