{"id":"W4313825881","doi":"10.3390/w15020271","title":"Comparative Analysis of Metagenomic (Amplicon and Shotgun) DNA Sequencing to Characterize Microbial Communities in Household On-Site Wastewater Treatment Systems","year":2023,"lang":"en","type":"article","venue":"Water","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Water Consortium","keywords":"Shotgun sequencing; Metagenomics; Biology; Shotgun; Species richness; Microbial population biology; DNA sequencing; Abundance (ecology); Deep sequencing; Environmental DNA; Computational biology; Ecology; Genetics; Bacteria; Biodiversity; Genome; DNA; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0001552828,0.0001464905,0.0003995223,0.0002787307,0.00005081254,0.00002935478,0.00007802925,0.00007106909,0.000008883886],"category_scores_gemma":[7.151761e-7,0.0001023905,0.00007042964,0.0001270262,0.00003757961,0.000003507802,0.00008171829,0.00004330379,0.0000202754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005742674,"about_ca_system_score_gemma":0.00001790923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001615177,"about_ca_topic_score_gemma":0.0013065,"domain_scores_codex":[0.9991562,0.0001059783,0.0002433956,0.0002007669,0.00003807471,0.0002555381],"domain_scores_gemma":[0.9996074,0.00001040577,0.00003913917,0.0002726004,0.00001765376,0.0000527706],"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":[0.00008885721,0.00002546279,0.002688002,0.00002377099,0.0003082873,0.000002830869,0.005765541,0.001137035,0.9898632,0.000004945113,0.00007814517,0.00001394268],"study_design_scores_gemma":[0.0005248336,0.0003821104,0.02782775,0.00002983446,0.00014778,0.000003969923,0.001132249,0.0001339151,0.962624,7.477397e-7,0.007012602,0.0001801746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991887,0.00004587469,0.000003092015,0.00008073635,0.0000569659,0.0002510712,0.0003174588,0.000009266536,0.00004688539],"genre_scores_gemma":[0.9980465,0.00009491043,0.00001992501,0.0001393798,0.00002891861,0.00002671033,0.001214662,0.00001156792,0.0004174095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02723915,"threshold_uncertainty_score":0.4175365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06881586393686241,"score_gpt":0.2795156037492402,"score_spread":0.2106997398123778,"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."}}