{"id":"W2883748237","doi":"10.1038/s41396-018-0215-9","title":"Metagenomics reveals functional synergy and novel polysaccharide utilization loci in the <i>Castor canadensis</i> fecal microbiome","year":2018,"lang":"en","type":"article","venue":"The ISME Journal","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Tula Foundation; Genome Canada; University of British Columbia; Canadian Institute for Advanced Research","keywords":"Biology; Metagenomics; Microbiome; Feces; Microbial ecology; Gut microbiome; Computational biology; Evolutionary biology; Microbiology; Ecology; Genetics; Bacteria; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008648777,0.00009608201,0.00008579764,0.00006515962,0.0002983336,0.00009182729,0.0002103959,0.00007823594,0.00008071839],"category_scores_gemma":[0.00008678774,0.00005764729,0.00004610861,0.0001390329,0.0001540678,0.000007253623,0.00006920262,0.0001978874,0.000008851996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000307181,"about_ca_system_score_gemma":0.0001498097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001391462,"about_ca_topic_score_gemma":0.0009310337,"domain_scores_codex":[0.999124,0.0001274008,0.0001971545,0.0001449103,0.000189328,0.0002172251],"domain_scores_gemma":[0.9995143,0.00002481152,0.00008125052,0.0001834223,0.0001317898,0.00006444746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009077932,0.00002873703,0.0003125158,0.000003309115,0.00003501023,0.000003239283,0.0001296512,0.00004334838,0.9892175,0.0003345735,0.008878804,0.0009225666],"study_design_scores_gemma":[0.005058733,0.00117291,0.09345777,0.00006889832,0.0001370114,0.007538323,0.001920682,0.002755488,0.3870551,0.001762722,0.4982159,0.0008565503],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880577,0.0005055435,0.007706549,0.003154949,0.0001524361,0.0001383555,0.00001394924,0.000002451171,0.0002680642],"genre_scores_gemma":[0.9963655,0.0001529217,0.0001722917,0.001586541,0.000695531,0.000004669083,0.00001551588,0.00001115805,0.0009958285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6021624,"threshold_uncertainty_score":0.2350788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04164739197052236,"score_gpt":0.2814455343798142,"score_spread":0.2397981424092918,"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."}}