{"id":"W2070168094","doi":"10.22358/jafs/67138/2005","title":"Analysis of feeding strategies for small-scaledairy systems in central Mexico using linearprogramming","year":2005,"lang":"en","type":"article","venue":"Journal of Animal and Feed Sciences","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Silage; Hay; Forage; Agricultural engineering; Agronomy; Linear programming; Scale (ratio); Straw; Work (physics); Mathematics; Agricultural science; Agriculture; Biotechnology; Biology; Engineering; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001200352,0.0004233019,0.0004147595,0.0004708047,0.0003891083,0.0007127363,0.0006637302,0.0004796821,0.001908713],"category_scores_gemma":[0.002046719,0.0002813321,0.0004743806,0.0004944882,0.0003279227,0.0005472038,0.0004065367,0.0003350651,0.00006695362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002872879,"about_ca_system_score_gemma":0.001281861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08448586,"about_ca_topic_score_gemma":0.08436857,"domain_scores_codex":[0.9997582,0.0001009765,0.000007959686,0.00003780526,0.0000203407,0.00007467133],"domain_scores_gemma":[0.9986058,0.0009923583,0.0002047127,0.00003536468,0.00009469569,0.00006707704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000264716,0.0002254491,0.0255929,0.00005047199,0.0000748618,0.00009995314,0.0000870095,0.9630992,0.001232688,0.001603733,0.0001916692,0.007477347],"study_design_scores_gemma":[0.00003579774,0.0001870466,0.011625,0.000003846928,0.00003292328,0.000008231761,0.0001772212,0.9870059,0.0003244939,0.0004249551,0.0001679791,0.000006634205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926132,0.00004223584,0.006468605,0.00005009321,0.000001444625,0.0000428752,0.0001035626,0.00002530821,0.0006526881],"genre_scores_gemma":[0.9943429,0.00005471929,0.004768841,0.000007013828,0.000001294257,0.00006801307,0.0001466385,0.000006376949,0.0006041822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08448586,"threshold_uncertainty_score":0.1679882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06184031882915385,"score_gpt":0.2606695510024593,"score_spread":0.1988292321733054,"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."}}