{"id":"W2049363487","doi":"10.5539/jgg.v6n2p132","title":"The VISHMOD Methodology with Hydrochemical Modeling in Intermountain (Karstic) Aquifers: Case of the Sierra Madre Oriental, Mexico","year":2014,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dolomite; Karst; Geology; Aquifer; Calcite; Hydrogeology; Carbonate; Geochemical modeling; Mineralogy; Geomorphology; Geochemistry; Groundwater; Hydrology (agriculture); Soil science; Geotechnical engineering; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001145725,0.00008354808,0.0001865875,0.00009702873,0.00009292346,0.000007200262,0.0001994114,0.00008692895,0.00003079763],"category_scores_gemma":[0.0001579355,0.00004111335,0.00007510512,0.0002166431,0.0005659032,0.00007466635,0.0001232314,0.0002596196,3.112966e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001317405,"about_ca_system_score_gemma":0.000007028218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001750394,"about_ca_topic_score_gemma":0.000259985,"domain_scores_codex":[0.9989814,0.0003099389,0.0003266157,0.0001081029,0.0001129594,0.0001609475],"domain_scores_gemma":[0.9992661,0.0002882688,0.0002478137,0.0001318757,0.00002195137,0.00004396802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001666419,0.0005067134,0.8594634,0.00007238689,0.0002658796,0.0006069904,0.008636188,0.00658455,0.06964503,0.007772105,0.0006640456,0.04411629],"study_design_scores_gemma":[0.01024278,0.009820003,0.08507385,0.0005025012,0.0006845865,0.05816548,0.0202377,0.2811286,0.1008318,0.4221786,0.009466426,0.00166761],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769357,0.0001645926,0.02160233,0.0008060017,0.00006880415,0.00007219956,4.493937e-7,0.000003043734,0.0003468867],"genre_scores_gemma":[0.9971621,0.00009986436,0.002499093,0.0001958083,0.0000281458,0.00000252948,2.776874e-7,0.000003816985,0.000008360275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7743896,"threshold_uncertainty_score":0.2085094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223822549494597,"score_gpt":0.2456065127310262,"score_spread":0.2333682872360803,"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."}}