{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005885747,0.00004342926,0.00008956631,0.00005085906,0.00003994731,0.000007215304,0.0001910126,0.00001408105,0.000001984251],"category_scores_gemma":[0.0000599626,0.00001997045,0.00003784192,0.0002279584,0.00009038462,0.0001727854,0.0000119037,0.00004690847,3.190908e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002898231,"about_ca_system_score_gemma":0.00001107335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001364223,"about_ca_topic_score_gemma":0.000001367561,"domain_scores_codex":[0.9994913,0.00001457353,0.0002004543,0.00003799865,0.0001663778,0.00008926231],"domain_scores_gemma":[0.9996317,0.00003620553,0.0001424085,0.00004783603,0.0001175292,0.00002431262],"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":[0.0000368982,0.00001403834,0.00003011393,0.00004124497,0.000002177207,2.732758e-8,0.0002339588,0.001763494,0.9925783,0.000008210111,0.00005621694,0.005235269],"study_design_scores_gemma":[0.0003147725,0.0001460363,0.06070889,0.00001461377,0.00001228282,0.00001709121,0.0003879523,0.0005401936,0.9377603,0.00002488113,0.00003922227,0.00003376288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990239,0.00009252547,0.0003911808,0.0001463813,0.0002007745,0.00009708743,0.00000135668,0.000004374187,0.00004241518],"genre_scores_gemma":[0.9992292,0.00002941277,0.0006590471,0.00000756892,0.00006124419,3.207438e-7,4.604216e-7,0.000001338994,0.00001144148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06067877,"threshold_uncertainty_score":0.08143714,"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."}}