{"id":"W3205104652","doi":"10.3389/fmicb.2021.738629","title":"Diversity, Functions and Antibiotic Resistance of Sediment Microbial Communities From Lake Geneva Are Driven by the Spatial Distribution of Anthropogenic Contamination","year":2021,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Western University","funders":"Interreg; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Analyses et Expérimentations pour les Ecosystèmes; Région Auvergne-Rhône-Alpes","keywords":"Benthic zone; Environmental science; Biogeochemical cycle; Sediment; Ecology; Bay; Abundance (ecology); Microbial population biology; Contamination; Community structure; Environmental chemistry; Resistance (ecology); Biology; Oceanography; Chemistry; Geology; Bacteria","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001378426,0.0004420227,0.0003977455,0.001059652,0.0004767296,0.001153121,0.0001460003,0.0003681833,0.0007068369],"category_scores_gemma":[0.0003541295,0.0002685176,0.0002261411,0.001110197,0.0004875066,0.0003431102,0.0008051367,0.0001716191,0.0001653326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000496579,"about_ca_system_score_gemma":0.0002812457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01328458,"about_ca_topic_score_gemma":0.02257916,"domain_scores_codex":[0.9997094,0.00002969908,0.00002496917,0.00008892276,0.00006986287,0.00007703077],"domain_scores_gemma":[0.9997007,0.00002955937,0.000136816,0.00001498351,0.00006605651,0.00005204294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004635476,0.00003824866,0.8614153,0.0001095256,0.00006792165,0.0002950241,0.002382024,0.000338043,0.1281954,0.00003131655,0.0001404879,0.006523125],"study_design_scores_gemma":[0.000001774627,0.00004819827,0.9983279,0.000003790271,0.00000808419,0.00004936847,0.0004918707,0.00007375851,0.0008185729,0.000005734726,0.0001661329,0.000004770469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995066,0.00005297198,0.00004271451,0.000005708443,8.281379e-7,0.000002926552,0.0001797865,0.000003801302,0.0002047231],"genre_scores_gemma":[0.9992198,0.00005908347,0.00008493831,0.000005827532,0.000002663724,0.00001128908,0.0003988084,0.000002467892,0.0002152702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01328458,"threshold_uncertainty_score":0.02641451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007049645378248415,"score_gpt":0.1926481602074453,"score_spread":0.1855985148291969,"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."}}