{"id":"W2165243851","doi":"10.1186/s40168-015-0124-3","title":"Chemostat culture systems support diverse bacteriophage communities from human feces","year":2015,"lang":"en","type":"article","venue":"Microbiome","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Congressionally Directed Medical Research Programs; Ontario Ministry of Agriculture, Food and Rural Affairs; Burroughs Wellcome Fund; U.S. Department of Defense","keywords":"Biology; Chemostat; Bacteriophage; Feces; Microbial ecology; Lytic cycle; Human virome; Human microbiome; Microbiology; Ecology; Siphoviridae; Bacterial virus; Diversity (politics); Zoology; Microbiome; Bacteria; Metagenomics; Genetics; Virus; Escherichia coli","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":[0.0006662431,0.0004499217,0.0004956734,0.0003898838,0.0005260374,0.001061332,0.0003740646,0.0004721608,0.001413732],"category_scores_gemma":[0.001134004,0.0002630216,0.0004578917,0.0003986371,0.0003855507,0.000419271,0.0007616074,0.0004681261,0.0004840112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005468235,"about_ca_system_score_gemma":0.0008606542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003986465,"about_ca_topic_score_gemma":0.005914329,"domain_scores_codex":[0.9992554,0.0001647375,0.00007483205,0.0002500454,0.0001758435,0.0000791532],"domain_scores_gemma":[0.9986708,0.0004712853,0.0002734796,0.0001302336,0.0003074922,0.0001467717],"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":[0.0007153346,0.0003742991,0.04222442,0.000237369,0.00008586249,0.000150757,0.0003158089,0.001101432,0.9480532,0.0001394384,0.0003827805,0.006219342],"study_design_scores_gemma":[0.00008922721,0.002990023,0.1199549,0.0001247329,0.0001743788,0.0007145339,0.0009245445,0.008377906,0.859852,0.0003060249,0.006429738,0.00006221008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903587,0.000651174,0.006377329,0.0001287784,0.00003297194,0.000167969,0.001068264,0.0001007451,0.001114214],"genre_scores_gemma":[0.9753072,0.0005829106,0.01982525,0.0001824207,0.00003385115,0.0001913624,0.002482387,0.00003470646,0.001359971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003986465,"threshold_uncertainty_score":0.007926524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03495263752721779,"score_gpt":0.2603248798546962,"score_spread":0.2253722423274784,"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."}}