{"id":"W2143853239","doi":"10.1017/s0021859614000860","title":"Efficacy of exogenous xylanases for improving<i>in vitro</i>fermentation of forages","year":2014,"lang":"en","type":"article","venue":"The Journal of Agricultural Science","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Xylanase; Pennisetum purpureum; Rumen; Fermentation; Trichoderma reesei; Dry matter; Food science; Stover; Chemistry; Aspergillus oryzae; Trichoderma harzianum; Beta-glucosidase; Corn stover; Pennisetum; Oryza sativa; Agronomy; Biology; Hydrolysis; Enzyme assay; Enzyme; Botany; Biochemistry; Cellulase; Biological pest control; Crop","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":[0.0004331038,0.0006476556,0.0004245832,0.0001710541,0.0001166278,0.0004703368,0.000278851,0.0002882151,0.000482395],"category_scores_gemma":[0.0003176447,0.0001583308,0.0003076466,0.0001624101,0.000166522,0.0002170368,0.0002161227,0.0004800912,0.0001582073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002964067,"about_ca_system_score_gemma":0.0001853261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009267419,"about_ca_topic_score_gemma":0.0009334858,"domain_scores_codex":[0.9996868,0.0001065312,0.00004661734,0.00005351422,0.00005806482,0.00004856163],"domain_scores_gemma":[0.9997336,0.00006899426,0.00006844828,0.00002920721,0.00004127855,0.00005857389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002524377,0.00006276166,0.0001311847,0.00003217211,0.00000903099,0.00001052829,0.000005888138,0.00006751168,0.9986672,0.000005934727,0.000009868641,0.0007455347],"study_design_scores_gemma":[0.00001185746,0.0007851706,0.001457086,0.00000490143,0.00002488283,0.00002788685,0.00001061372,0.0002712856,0.997126,0.000003424697,0.0002743772,0.000002479621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997915,0.0006641858,0.0007752303,0.00003037524,0.00001230916,0.00001939676,0.0001360419,0.0000378405,0.0004097356],"genre_scores_gemma":[0.9948592,0.0005195675,0.003413509,0.00003366844,0.000008964865,0.00001953281,0.0004200081,0.00002248934,0.0007030784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009267419,"threshold_uncertainty_score":0.002290487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008500138709362082,"score_gpt":0.2118457789023833,"score_spread":0.2033456401930212,"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."}}