{"id":"W2323674309","doi":"10.2527/af.2016-0019","title":"Mining the rumen for fibrolytic feed enzymes","year":2016,"lang":"en","type":"article","venue":"Animal Frontiers","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Rumen; Biology; Biotechnology; Animal science; Food science; Fermentation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007392147,0.0005750659,0.0006550852,0.001065937,0.0006349065,0.002203258,0.0004457055,0.001091011,0.001515657],"category_scores_gemma":[0.0005307422,0.0002770007,0.0005555821,0.0008706055,0.0004781874,0.00184358,0.0007315853,0.001006868,0.001349443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004895182,"about_ca_system_score_gemma":0.001034111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001059221,"about_ca_topic_score_gemma":0.003587526,"domain_scores_codex":[0.9997354,0.00004913954,0.00001617593,0.00006292654,0.00009127972,0.0000450576],"domain_scores_gemma":[0.9997593,0.00004883866,0.00006274736,0.00002152055,0.00006956325,0.0000381262],"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":[0.000243452,0.0001204832,0.00768156,0.001575639,0.00009823486,0.0005832289,0.0002398811,0.0005385029,0.8365487,0.002536071,0.002024385,0.1478098],"study_design_scores_gemma":[0.00006828283,0.000873774,0.03661517,0.001233809,0.0003079873,0.001917141,0.00230396,0.003765761,0.7435191,0.01362297,0.1957,0.00007208777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7325208,0.1756075,0.05965365,0.01352479,0.0007346387,0.0002585044,0.001432051,0.0003214355,0.01594671],"genre_scores_gemma":[0.8156314,0.08914272,0.08001939,0.001829147,0.0002936176,0.00008089406,0.00157916,0.00008287394,0.01134085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002203258,"threshold_uncertainty_score":0.005070388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802559680438145,"score_gpt":0.2132811169715903,"score_spread":0.1952555201672089,"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."}}