{"id":"W4389901119","doi":"","title":"New insights on low protein diets to sustain optimal performance and reduce emissions in poultry and pigs","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Business; Environmental science; Agricultural science","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":[0.0004728871,0.0006838366,0.0007250583,0.0004181707,0.0002778428,0.001664311,0.0006848795,0.001272331,0.009209405],"category_scores_gemma":[0.0003611465,0.0002086267,0.0004899998,0.0003657573,0.0007568658,0.001859627,0.0005896023,0.001048337,0.0008795492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007545757,"about_ca_system_score_gemma":0.0005161977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001007747,"about_ca_topic_score_gemma":0.001448615,"domain_scores_codex":[0.9998294,0.00002414529,0.000008782816,0.00006546456,0.00003438277,0.00003780713],"domain_scores_gemma":[0.9997725,0.00008380924,0.00003195836,0.0000173961,0.00005390631,0.00004049528],"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":[0.001508927,0.0004697368,0.002433461,0.002086503,0.0001393193,0.0007071769,0.0002849136,0.003582423,0.8113959,0.02941902,0.002794681,0.1451779],"study_design_scores_gemma":[0.0003639444,0.004843865,0.07601248,0.001436258,0.0005297362,0.002298688,0.003872461,0.02799183,0.3641805,0.3495516,0.1686446,0.0002741467],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6397114,0.1222758,0.1409205,0.03084054,0.002927276,0.0001478999,0.001817129,0.0004063502,0.06095323],"genre_scores_gemma":[0.8527876,0.05721366,0.05191842,0.0057279,0.001160856,0.0001543545,0.000808861,0.0002136967,0.0300147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009209405,"threshold_uncertainty_score":0.03080851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086300551815725,"score_gpt":0.2316975473496716,"score_spread":0.2108345418315143,"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."}}