{"id":"W4380049352","doi":"10.3390/microorganisms11061526","title":"Effect of Snowmelt on Groundwater Bacterial Community Composition and Potential Role of Surface Environments as Microbial Seed Bank in Two Distinct Aquifers from the Region of Quebec, Canada","year":2023,"lang":"en","type":"article","venue":"Microorganisms","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Groupe de recherche interuniversitaire en limnologie; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Aquifer; Groundwater recharge; Groundwater; Snowmelt; Microbial population biology; Abiotic component; Hydrology (agriculture); Environmental science; Snow; Geology; Ecology; Geomorphology; Biology; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002311575,0.0003421302,0.0004206384,0.000686968,0.00176257,0.001003629,0.0004850643,0.0003556562,0.000974048],"category_scores_gemma":[0.0004293083,0.0002146261,0.0002706543,0.001125202,0.000760112,0.0002651044,0.000491949,0.0003018185,0.00009377773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01062156,"about_ca_system_score_gemma":0.007442886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9618286,"about_ca_topic_score_gemma":0.9855602,"domain_scores_codex":[0.9996885,0.00002348674,0.00001038334,0.00008473279,0.00006419139,0.0001287213],"domain_scores_gemma":[0.9995685,0.00004649249,0.00006083956,0.00001084309,0.0001707499,0.0001424632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007847131,0.0001714238,0.8804507,0.00009100604,0.0001279295,0.0004398706,0.004432617,0.0009927843,0.1017745,0.0001480316,0.0005189875,0.01006741],"study_design_scores_gemma":[0.00000497546,0.00003792207,0.9964855,0.000005268843,0.00001280256,0.00002187283,0.001291615,0.0006465614,0.001169753,0.00001162185,0.0003051016,0.000007123865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990751,0.00005469051,0.00007429211,0.00003214078,0.000001444446,0.000008614547,0.0004663491,0.000004927561,0.0002825621],"genre_scores_gemma":[0.9987012,0.00004071724,0.0001805378,0.00003142486,0.000001036697,0.000008585206,0.0005238307,0.000003156093,0.0005093931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03817141,"threshold_uncertainty_score":0.07706517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003924229493982649,"score_gpt":0.1938335130939623,"score_spread":0.1899092835999796,"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."}}