{"id":"W2950256047","doi":"10.1111/gwat.12919","title":"Modification of the DRASTIC Framework for Mapping Groundwater Vulnerability Zones","year":2019,"lang":"en","type":"article","venue":"Ground Water","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wilcoxon signed-rank test; Groundwater; Vulnerability (computing); Environmental science; Statistics; Range (aeronautics); Nitrate; Soil science; Mathematics; Hydrology (agriculture); Computer science; Geology; Materials science; Ecology; Mann–Whitney U test; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001315868,0.0005639384,0.0003286967,0.002084379,0.0002327041,0.0005212739,0.000726326,0.0002733693,0.0009619073],"category_scores_gemma":[0.003744197,0.0001743353,0.0004736123,0.001123069,0.0003554291,0.0004603178,0.0009142891,0.0003765971,0.0001615483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004488137,"about_ca_system_score_gemma":0.0005729652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003273914,"about_ca_topic_score_gemma":0.006402528,"domain_scores_codex":[0.9992472,0.0002146889,0.00003831811,0.0001135518,0.0003369755,0.00004928634],"domain_scores_gemma":[0.9989649,0.0003094815,0.0002302402,0.00009704835,0.0003598457,0.00003848187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003209369,0.0002137258,0.07454172,0.0003418989,0.0003269496,0.0003495181,0.0005483249,0.3689727,0.07106744,0.005717062,0.002135978,0.4754637],"study_design_scores_gemma":[0.00003069204,0.0004218006,0.1056002,0.00002672141,0.00007221755,0.0002823489,0.0003932514,0.8658085,0.01987953,0.00382043,0.003569151,0.00009499065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6060205,0.00008104153,0.3869029,0.00009846254,0.00002636798,0.000255244,0.0005449001,0.001212892,0.004857674],"genre_scores_gemma":[0.8621004,0.00003802297,0.1368458,0.00001779815,0.000007137631,0.0001014008,0.0003246815,0.00004037454,0.0005244181],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003273914,"threshold_uncertainty_score":0.006959021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965010287154366,"score_gpt":0.2373356726520478,"score_spread":0.2176855697805042,"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."}}