{"id":"W3153334459","doi":"10.3390/microorganisms9040816","title":"CaptureSeq: Hybridization-Based Enrichment of cpn60 Gene Fragments Reveals the Community Structures of Synthetic and Natural Microbial Ecosystems","year":2021,"lang":"en","type":"article","venue":"Microorganisms","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Saskatchewan Research Council (Canada); Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"Agriculture and Agri-Food Canada; Canada First Research Excellence Fund","keywords":"Metagenomics; Microbiome; Biology; Amplicon; Microbial ecology; Microbial population biology; Computational biology; Environmental DNA; Shotgun sequencing; DNA sequencing; Genetics; Gene; Bacteria; Ecology; Biodiversity; Polymerase chain reaction","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":[0.0008936836,0.001147775,0.0006559879,0.0008729272,0.0007243849,0.0008430347,0.000667567,0.0007076042,0.00216576],"category_scores_gemma":[0.001016836,0.0004717764,0.0007950827,0.000538523,0.0006543619,0.0004755718,0.000960777,0.0008954463,0.001285582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006828669,"about_ca_system_score_gemma":0.0005721832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312304,"about_ca_topic_score_gemma":0.00287691,"domain_scores_codex":[0.998742,0.0001377789,0.00007081451,0.0004143991,0.0005010878,0.0001338321],"domain_scores_gemma":[0.9994485,0.0001528044,0.0001068891,0.00005742743,0.0001648101,0.00006961017],"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":[0.00009223664,0.0000344351,0.001171724,0.00006277684,0.00001671939,0.00002210526,0.00004736263,0.0002487643,0.9938023,0.000122457,0.000387082,0.003991911],"study_design_scores_gemma":[0.00002473906,0.0003750543,0.02135109,0.00003017991,0.00006007267,0.0002413526,0.0001272815,0.009924984,0.9567352,0.0002828248,0.01078856,0.00005861459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7112243,0.0007994293,0.2585212,0.0005413116,0.0002018713,0.0006148851,0.01768454,0.003370003,0.007042335],"genre_scores_gemma":[0.6123971,0.001475418,0.3092653,0.001372337,0.0001434696,0.001377258,0.05839646,0.001452253,0.01412048],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00216576,"threshold_uncertainty_score":0.007245183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00714395696552145,"score_gpt":0.2084964931981006,"score_spread":0.2013525362325791,"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."}}