{"id":"W2577646590","doi":"10.1186/s40104-016-0135-3","title":"Understanding host-microbial interactions in rumen: searching the best opportunity for microbiota manipulation","year":2017,"lang":"en","type":"review","venue":"Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":202,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; Agriculture Food and Rural Development; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Rumen; Host (biology); Biology; Fermentation; Function (biology); Microbiome; Biotechnology; Food science; Ecology; Evolutionary biology; Bioinformatics","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":[0.000720111,0.0008088282,0.001594462,0.002529043,0.0003168632,0.001222335,0.0008672873,0.001480231,0.002829786],"category_scores_gemma":[0.001064689,0.000257349,0.0005013948,0.001863474,0.0005253354,0.002012753,0.0008684819,0.001674634,0.001546563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004801839,"about_ca_system_score_gemma":0.00138219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008377364,"about_ca_topic_score_gemma":0.001321649,"domain_scores_codex":[0.999797,0.00003431562,0.00003320925,0.00003876169,0.00007692666,0.00001977846],"domain_scores_gemma":[0.9994394,0.0002825199,0.00007247239,0.00001753183,0.0001325729,0.00005550698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006960924,0.0000761073,0.0003254659,0.02800731,0.0001298132,0.0002508361,0.00007869247,0.0003003638,0.00380909,0.003580289,0.01235683,0.9510157],"study_design_scores_gemma":[0.00001321484,0.0001482385,0.001473395,0.008502776,0.0002644334,0.001444265,0.0001770864,0.000129738,0.001605492,0.003636757,0.9825695,0.00003520392],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001240431,0.9987081,0.0002049104,0.000318445,0.0001293407,0.000003400514,0.0000157238,0.000006337669,0.0004896188],"genre_scores_gemma":[0.0006173332,0.998668,0.0002546724,0.0001236905,0.0000924624,0.000003935114,0.00002036656,0.000001273629,0.0002183087],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002829786,"threshold_uncertainty_score":0.009466588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.260653351461051,"score_gpt":0.3747484856347914,"score_spread":0.1140951341737404,"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."}}