{"id":"W3033012194","doi":"10.1101/2020.06.08.140780","title":"Quantifying fluorescent glycan uptake to elucidate strain-level variability in foraging behaviors of rumen bacteria","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Lethbridge","funders":"Max-Planck-Gesellschaft; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Metagenomics; Biology; Microbiome; Prebiotic; Glycan; Bacteroides thetaiotaomicron; Computational biology; Rumen; Bacteroides; Bacteria; Genome; Metabolic pathway; Adaptation (eye); Biochemistry; Genetics; Gene; Fermentation","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":[0.0004070532,0.0003769258,0.0002897929,0.0005002433,0.0002009302,0.0005055262,0.0002172992,0.000532013,0.0005696532],"category_scores_gemma":[0.0004394201,0.0001533559,0.0002597658,0.0005008999,0.000249869,0.000317254,0.0003822963,0.0004450622,0.0002123722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003084213,"about_ca_system_score_gemma":0.0001582975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001900663,"about_ca_topic_score_gemma":0.00149463,"domain_scores_codex":[0.9997446,0.00003490793,0.00001087589,0.0001011373,0.00006169958,0.00004675958],"domain_scores_gemma":[0.9997475,0.00007681237,0.00007163928,0.00002905507,0.00004604039,0.00002908595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008666229,0.00003259184,0.01087318,0.00002561263,0.00001469988,0.000009237913,0.00005276504,0.0002857096,0.9861617,0.00004886362,0.00003126741,0.002377646],"study_design_scores_gemma":[0.000009041032,0.0002925371,0.2243241,0.00001213302,0.00004406409,0.0001097369,0.0002737957,0.0161254,0.7573172,0.0002471803,0.001219795,0.0000250409],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912389,0.0002490368,0.007042878,0.00003859992,0.000008822059,0.00001240523,0.001014001,0.00003778582,0.0003576034],"genre_scores_gemma":[0.9891735,0.0002151781,0.0087844,0.00005970302,0.000007092056,0.00003665594,0.00101526,0.00002266272,0.0006855765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001900663,"threshold_uncertainty_score":0.003779233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05501321652263323,"score_gpt":0.2564370299920503,"score_spread":0.201423813469417,"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."}}