{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003148458,0.000150537,0.0003034298,0.00001969397,0.0001689047,0.000005759466,0.0003469111,0.00008317435,0.0005113246],"category_scores_gemma":[0.00001468356,0.0001227411,0.00003975167,0.0001133565,0.0004722407,0.00004986482,0.0004122464,0.0002844754,0.00002088286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001362785,"about_ca_system_score_gemma":0.00002359456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8572454,"about_ca_topic_score_gemma":0.8094825,"domain_scores_codex":[0.9978268,0.001467314,0.0002766017,0.0001489719,0.00009448778,0.000185833],"domain_scores_gemma":[0.9990228,0.00044728,0.0001643899,0.0003318989,0.000003472843,0.00003017564],"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":[0.0006250616,0.0001076895,0.02275688,0.00001201881,0.00002237919,0.000003528302,0.0009424675,0.0002995702,0.9747277,0.000002558524,0.0003539902,0.0001461571],"study_design_scores_gemma":[0.0008683359,0.0002261694,0.3652606,0.00002016686,0.00002163047,0.000003467768,0.0001392436,0.00001076216,0.6331956,0.00007996188,0.00009433208,0.00007962685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993792,0.000006623468,0.000003627692,0.00009682443,0.0001265764,0.0002501616,0.00008448265,0.000005468326,0.00004708802],"genre_scores_gemma":[0.999454,0.000008029441,0.00001220619,0.0000667168,0.00001245844,0.000001616845,0.0003939024,0.00001213466,0.00003897066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3425038,"threshold_uncertainty_score":0.5598645,"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."}}