{"id":"W2104317753","doi":"10.5713/ajas.2013.13161","title":"Production, Nutritional Quality and <italic>In vitro</italic> Methane Production from <italic>Andropogon gayanus</italic> Grass Harvested at Different Maturities and Preserved as Hay or Silage","year":2014,"lang":"en","type":"article","venue":"Asian-Australasian Journal of Animal Sciences","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Hay; Dry matter; Silage; Forage; Animal science; Rumen; Biology; Chemistry; Agronomy; Fermentation; Biochemistry","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.003483149,0.001642656,0.002375548,0.0005934786,0.001885276,0.001348791,0.001618031,0.0008732634,0.001533012],"category_scores_gemma":[0.003058264,0.0009278357,0.0007995943,0.002103335,0.003547914,0.00317592,0.0005561973,0.001200558,0.0002166677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003691072,"about_ca_system_score_gemma":0.0001631032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006179101,"about_ca_topic_score_gemma":0.01650897,"domain_scores_codex":[0.9870485,0.002325788,0.002991151,0.002851394,0.002577652,0.002205527],"domain_scores_gemma":[0.9934583,0.001026979,0.002255127,0.0007310944,0.001062917,0.001465525],"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":[0.003523583,0.001735896,0.01948475,0.0002235279,0.0002177524,0.0000203399,0.001049588,0.00001640081,0.9577405,0.0009559352,0.01297858,0.002053075],"study_design_scores_gemma":[0.002953937,0.002662066,0.7770258,0.001225021,0.0004061983,0.001997969,0.001316768,0.00000668001,0.02165616,0.008182264,0.1799912,0.002576029],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733647,0.002441233,0.00006311345,0.01929005,0.001423131,0.001388422,0.0008185924,0.0002114121,0.0009994238],"genre_scores_gemma":[0.9839996,0.0009582266,0.004061402,0.0003122521,0.002550148,0.0001144031,0.00124397,0.00004010738,0.006719867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9360844,"threshold_uncertainty_score":0.9996879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06908128944285251,"score_gpt":0.3018010584504808,"score_spread":0.2327197690076283,"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."}}