{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003721518,0.0001484857,0.0002827226,0.00002365727,0.0003605214,0.00001186368,0.000431096,0.0001005334,0.001683614],"category_scores_gemma":[0.00007659791,0.0001163622,0.00005783171,0.0001664337,0.0005611906,0.00003523538,0.0004279987,0.0003529444,0.000012157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005926974,"about_ca_system_score_gemma":0.0000359471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006804439,"about_ca_topic_score_gemma":0.001267583,"domain_scores_codex":[0.9981991,0.001023592,0.0003264629,0.0001635412,0.00009823773,0.0001890529],"domain_scores_gemma":[0.9988609,0.0003018985,0.0002103303,0.0005518625,0.00003782394,0.00003717542],"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":[0.00002214135,0.0001107084,0.004445404,0.00004521128,0.00003432308,0.00000196234,0.0008818949,0.0002689482,0.9928815,0.00006141765,0.001172642,0.00007384993],"study_design_scores_gemma":[0.0003917229,0.00006444995,0.0315997,0.0000189756,0.00003452652,0.00003658246,0.0002445311,0.00003076986,0.9660002,0.0009616573,0.0004985976,0.0001182967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988111,0.0002892831,0.000103922,0.0001990036,0.0001922961,0.0001993416,0.00008722116,0.000008816332,0.0001089708],"genre_scores_gemma":[0.9986009,0.00001768582,0.0006364271,0.0005058098,0.00001370474,0.000003072731,0.0001256105,0.00001217418,0.00008461976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0271543,"threshold_uncertainty_score":0.999229,"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."}}