{"id":"W1983530000","doi":"10.1080/01490450500184769","title":"Microbial Populations of the River-Recharged Fredericton Aquifer","year":2005,"lang":"en","type":"article","venue":"Geomicrobiology Journal","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Calgary","funders":"","keywords":"Aquifer; Microbial population biology; Groundwater; Nitrate; Water quality; Groundwater flow; Environmental science; Hydrology (agriculture); Environmental chemistry; Ecology; Biology; Geology; Bacteria; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001045544,0.0002221999,0.0001777085,0.0004965672,0.0006047022,0.000516939,0.0002562748,0.0001691828,0.0007436207],"category_scores_gemma":[0.0001443004,0.0001335078,0.00009626384,0.0008412705,0.0002756978,0.0001380478,0.0002459049,0.0001746262,0.0001636848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002132925,"about_ca_system_score_gemma":0.00168461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4333898,"about_ca_topic_score_gemma":0.5276275,"domain_scores_codex":[0.99979,0.00001332459,0.00001046839,0.00006057974,0.00006338509,0.00006219943],"domain_scores_gemma":[0.9998497,0.000009331126,0.00001928429,0.000004319467,0.00008042955,0.00003689796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005753207,0.0002156975,0.3489089,0.0001033623,0.00004291483,0.0004350527,0.00189416,0.0005809514,0.6319953,0.000191107,0.0005441532,0.01451304],"study_design_scores_gemma":[0.00001317733,0.0002794337,0.9757789,0.000008317262,0.00001709753,0.00008858254,0.001399141,0.0007451645,0.0200813,0.00001922852,0.001555838,0.00001393181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990307,0.00004998858,0.00003704014,0.00000899678,0.00000112192,0.0000142656,0.0003448559,0.000002283153,0.0005108471],"genre_scores_gemma":[0.9940586,0.0001487886,0.0003515158,0.00003636133,0.000002362703,0.00003169587,0.001555198,0.000001802173,0.003813666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5666102,"threshold_uncertainty_score":0.8617344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073871922477342,"score_gpt":0.2068675365776567,"score_spread":0.1961288173528833,"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."}}