{"id":"W4416041531","doi":"10.1016/j.anifeedsci.2025.116566","title":"Evaluating variables affecting Pellet Durability Index (PDI) in pelleted corn-soy-based feeds for swine and poultry: A meta-analysis","year":2025,"lang":"en","type":"article","venue":"Animal Feed Science and Technology","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Agri-Food Innovation Alliance; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Pellet; Ingredient; Pellets; Production (economics); Animal feed; Concordance correlation coefficient; Predictive modelling; Animal husbandry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001666503,0.0001807865,0.0006277849,0.0003139584,0.0005307849,0.00007146732,0.0003039937,0.000212616,0.00007831283],"category_scores_gemma":[0.0008184355,0.0000844202,0.0001349546,0.004964559,0.0008109953,0.0001180957,0.0001706665,0.0001961511,0.000001074507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003767143,"about_ca_system_score_gemma":0.00005751942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002853843,"about_ca_topic_score_gemma":0.0003024231,"domain_scores_codex":[0.9982606,0.00009219283,0.0003112045,0.000726569,0.0001850123,0.000424406],"domain_scores_gemma":[0.9987079,0.0007268903,0.0001139496,0.00009687215,0.0002927968,0.00006161535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002045747,0.0001260598,0.0783811,0.00003109726,0.0005072619,0.000001347924,0.00002523143,0.00001117275,0.9104348,0.004795881,0.00003334144,0.005448134],"study_design_scores_gemma":[0.001543815,0.002896322,0.9284303,0.00002366633,0.005529681,0.00000939562,0.002960631,0.02918044,0.007015934,0.02099665,0.0008012643,0.0006119249],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989118,0.0003198855,0.00007806687,0.009758769,0.00001875955,0.0004209706,0.00002595564,0.00007985401,0.0001797028],"genre_scores_gemma":[0.9984889,0.00001089767,0.0007086928,0.0006600838,0.00001458714,0.00006838486,0.00001318661,8.595563e-7,0.00003437892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9034188,"threshold_uncertainty_score":0.4082422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06462474334665023,"score_gpt":0.3283520421160576,"score_spread":0.2637272987694073,"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."}}