{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001083765,0.0002109147,0.0002166617,0.00003598021,0.0002131532,0.0002125551,0.0003938787,0.0001064918,0.003633565],"category_scores_gemma":[0.000002983761,0.0001885812,0.00007845955,0.0001311212,0.0001989515,0.0004642394,0.0004225254,0.0001853743,0.002757988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000257491,"about_ca_system_score_gemma":0.00001016604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01678432,"about_ca_topic_score_gemma":0.001139981,"domain_scores_codex":[0.9990667,0.00006820878,0.0002452042,0.0002198228,0.0001018668,0.0002981884],"domain_scores_gemma":[0.9993214,0.00001018747,0.000112769,0.0003718601,0.00001983518,0.0001639241],"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":[0.000009892485,0.00007572012,0.001088266,0.000005500448,0.0000220859,0.0000169979,0.004640259,0.000007575919,0.9052622,0.000003378054,0.08874828,0.0001198712],"study_design_scores_gemma":[0.0008263084,0.0001456057,0.01275039,0.00004605961,0.00004830261,0.00009415091,0.01212198,0.000009407449,0.06901126,0.00001597756,0.9044613,0.0004692614],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932026,0.00006427986,0.00001770886,0.00009951869,0.0007295142,0.0001788154,0.0004568954,0.0001538639,0.005096782],"genre_scores_gemma":[0.9871725,0.00001357947,0.0002468965,0.0002925537,0.0000968669,0.00001106313,0.0007266739,0.0000330129,0.01140688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8362509,"threshold_uncertainty_score":0.9980185,"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."}}