{"id":"W4401819293","doi":"10.1016/j.anscip.2024.06.123","title":"122. Reduction in crude protein content and soybean meal inclusion: What effects on performance and nitrogen emissions in broiler chickens?","year":2024,"lang":"en","type":"article","venue":"Animal - science proceedings","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Broiler; Meal; Soybean meal; Animal science; Food science; Nitrogen; Chemistry; Inclusion (mineral); Reduction (mathematics); Biology; Mathematics; Mineralogy; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000409399,0.0001304375,0.0001416096,0.00007626617,0.0004025568,0.0002408634,0.0001481534,0.00007511332,0.00001429683],"category_scores_gemma":[0.00004510298,0.00005783988,0.00002085956,0.0007528898,0.0002988713,0.001066372,0.000269682,0.0002200434,0.000006498492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004788745,"about_ca_system_score_gemma":0.00001517081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007217222,"about_ca_topic_score_gemma":0.00001684169,"domain_scores_codex":[0.9988046,0.00001277282,0.0001623139,0.0004938472,0.0002237492,0.0003027339],"domain_scores_gemma":[0.9997392,0.00003763921,0.00003306426,0.00001684723,0.00004919174,0.0001240308],"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":[0.0001106871,0.00005497197,0.003441647,0.00005012795,8.178978e-7,0.000002900943,0.0006591007,2.38273e-8,0.9701873,0.001205518,0.00003489619,0.02425199],"study_design_scores_gemma":[0.0005976184,0.003575752,0.8101842,0.002119041,0.000006292474,0.00009511786,0.003353633,0.001636007,0.1708661,0.005799415,0.001332146,0.0004346563],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955414,0.0005164525,2.7459e-8,0.003204442,0.00005490478,0.0003432019,0.00000142331,0.00004123232,0.0002969036],"genre_scores_gemma":[0.9992424,0.0003133523,0.00003573324,0.0002179575,0.000117935,0.00004108934,0.000001913804,0.000001184442,0.00002844846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8067425,"threshold_uncertainty_score":0.3096182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321369017990955,"score_gpt":0.239468522085265,"score_spread":0.2162548319053554,"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."}}