{"id":"W2516899395","doi":"10.5539/jas.v8n10p1","title":"Spring Triticale Varieties Forage Yield, Nutrients Composition and Suitability for Beef Cattle Production","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dry matter; Triticale; Forage; Animal science; Silage; Beef cattle; Nutrient; Chemistry; Agronomy; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005017314,0.00008570231,0.0001570352,0.00001870124,0.0003342975,0.00005952045,0.0001745469,0.00004060581,0.00001687164],"category_scores_gemma":[0.0004297032,0.00002332403,0.00007202101,0.0002668813,0.0003806197,0.0007025861,0.00004482203,0.00005699787,0.000002191735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005778977,"about_ca_system_score_gemma":0.00001041026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001547648,"about_ca_topic_score_gemma":0.00001427782,"domain_scores_codex":[0.9990544,0.00002944605,0.0002481549,0.0002051127,0.0002317077,0.0002311865],"domain_scores_gemma":[0.9988625,0.0002959768,0.0001653534,0.00002731442,0.0005171958,0.0001316673],"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":[0.00005908951,0.00009603843,0.007323917,0.0000063359,0.000002225554,2.750238e-7,0.00002463722,6.988516e-7,0.9864273,0.000723251,0.0002098849,0.005126331],"study_design_scores_gemma":[0.000183725,0.0004409918,0.8580526,0.00006055437,0.000008082488,0.00005153082,0.0001996536,6.974969e-7,0.1390706,0.001343762,0.0005046105,0.00008319291],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932224,0.000104827,0.00006950233,0.006076701,0.0002808354,0.0001832008,0.00001241607,0.00001058567,0.00003960236],"genre_scores_gemma":[0.9992658,0.00007469136,0.0002482226,0.00003783436,0.0003030518,0.000005699021,0.000001278638,3.224649e-7,0.00006309264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8507287,"threshold_uncertainty_score":0.257118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02386803177418658,"score_gpt":0.2425402728626631,"score_spread":0.2186722410884765,"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."}}