{"id":"W1604386137","doi":"10.1111/gwmr.12100","title":"Effects of Glacial Sediment Type and Land Use on Nitrate Patterns in Groundwater","year":2015,"lang":"en","type":"article","venue":"Groundwater Monitoring & Remediation","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Guelph","keywords":"Aquifer; Groundwater; Hydrogeology; Bedrock; Hydrology (agriculture); Geology; Sediment; Environmental science; Population; MODFLOW; Groundwater flow; Geomorphology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001201119,0.0001089759,0.0001157824,0.0004430297,0.0003918822,0.00049086,0.0001375072,0.00009923265,0.0005808851],"category_scores_gemma":[0.0005124088,0.00008223718,0.0001210455,0.000636695,0.000407726,0.0001057088,0.0002367,0.00006864809,0.00007388082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585546,"about_ca_system_score_gemma":0.0008614726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3634344,"about_ca_topic_score_gemma":0.6869883,"domain_scores_codex":[0.9998896,0.0000199339,0.000006759512,0.00002506051,0.00002432968,0.00003432809],"domain_scores_gemma":[0.9997467,0.00004742855,0.00007834702,0.00001443555,0.00006119493,0.00005191981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001979502,0.00001613917,0.9917141,0.000007868086,0.00003411674,0.00007420145,0.0002942153,0.0001935052,0.005103747,0.00002483052,0.00007096231,0.002268343],"study_design_scores_gemma":[9.571676e-7,0.00001633333,0.9996185,8.834068e-7,0.000003951988,0.000009175415,0.0001195234,0.00005632122,0.0001063954,0.000005018539,0.00006221065,6.385299e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996687,0.00002609871,0.00001607976,0.000004449932,4.49341e-7,0.000001048868,0.0001126129,9.762495e-7,0.0001695283],"genre_scores_gemma":[0.9996581,0.00001795076,0.00002415624,0.0000029547,3.908714e-7,0.000001038369,0.0001326284,8.294958e-7,0.000161957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3634344,"threshold_uncertainty_score":0.722638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232637921845811,"score_gpt":0.2200054117297959,"score_spread":0.1976790325113378,"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."}}