{"id":"W4390880798","doi":"10.3390/agriculture14010122","title":"Optimizing Silage Strategies for Sustainable Livestock Feed: Preserving Retail Food Waste","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba; University of Lethbridge","funders":"","keywords":"Silage; Food spoilage; Livestock; Dry matter; Food science; Animal feed; Mycotoxin; Food waste; Animal science; Biology","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":[0.0001129631,0.0001975664,0.0001999164,0.00001512798,0.0003306124,0.0004272487,0.0002503747,0.0001615127,0.000139729],"category_scores_gemma":[0.00004887853,0.00006552852,0.0001701351,0.0003973079,0.00004119182,0.0005902111,0.00009911865,0.0001583929,0.00001847413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003006385,"about_ca_system_score_gemma":0.00001786883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006078276,"about_ca_topic_score_gemma":0.000127223,"domain_scores_codex":[0.9987841,0.00004562607,0.0001780525,0.0004082652,0.0001246535,0.0004593204],"domain_scores_gemma":[0.999369,0.000247912,0.00004556672,0.0000508561,0.0001926187,0.00009403365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005998121,0.0001239555,0.00004474119,0.000370945,0.00006257834,0.00003777006,0.0005720384,0.0002157527,0.7751986,0.1134112,0.1061591,0.003743296],"study_design_scores_gemma":[0.0005598873,0.003647607,0.01056625,0.0005508994,0.0001201678,0.00006281053,0.1299538,0.0007107832,0.03226268,0.06553015,0.754729,0.001306008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780751,0.005932226,0.00008208278,0.00449158,0.0001790167,0.0007955768,0.00007984877,0.000365727,0.009998854],"genre_scores_gemma":[0.9905649,0.00009528925,0.0002456855,0.0001570219,0.0007285826,0.0001507541,0.0002085711,0.000002019706,0.007847169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.742936,"threshold_uncertainty_score":0.4119968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260294007410134,"score_gpt":0.2272588221648304,"score_spread":0.204655882090729,"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."}}