{"id":"W6973610080","doi":"10.57757/iugg23-2817","title":"Predictions of GIS-based intrinsic and specific groundwater vulnerability indicators: A comparative study","year":2023,"lang":"en","type":"article","venue":"Publication Database GFZ (GFZ German Research Centre for Geosciences)","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aquifer; Hydrogeology; Groundwater; Vulnerability (computing); Vadose zone; Hydrology (agriculture); Vulnerability assessment","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003221965,0.0005823594,0.0002768972,0.001697793,0.0001455583,0.0009073889,0.0004543599,0.0005631542,0.0006621671],"category_scores_gemma":[0.005911271,0.0001978093,0.0006572767,0.001157448,0.0002936051,0.0009146952,0.0004228288,0.0002758132,0.0001274766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000838001,"about_ca_system_score_gemma":0.0003822573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01083562,"about_ca_topic_score_gemma":0.006244096,"domain_scores_codex":[0.9993988,0.0002841353,0.0000320297,0.0001188447,0.0001192546,0.00004690479],"domain_scores_gemma":[0.9959021,0.003070398,0.0002718785,0.0002242105,0.0004360662,0.00009538891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004230721,0.0001978311,0.3618213,0.00009938006,0.0002702203,0.0002221949,0.0003645653,0.6037769,0.001928719,0.001131958,0.0004239772,0.02933984],"study_design_scores_gemma":[0.00001108966,0.0002306182,0.1261696,0.00001941816,0.00005400568,0.00006076471,0.0003899102,0.8696876,0.002282793,0.0007279758,0.0003289756,0.00003729871],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920483,0.00005249699,0.006089807,0.00003355874,0.000004154059,0.00002331129,0.0005742073,0.00008042828,0.001093701],"genre_scores_gemma":[0.9973585,0.00003495472,0.002166934,0.000003099256,0.00000191418,0.000009394586,0.0003390538,0.000005772132,0.00008039168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01083562,"threshold_uncertainty_score":0.02154511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0700108376309503,"score_gpt":0.3414511530795376,"score_spread":0.2714403154485873,"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."}}