{"id":"W2438583391","doi":"10.1007/s12665-016-5823-y","title":"Assessment of groundwater quality of Lakshimpur district of Bangladesh using water quality indices, geostatistical methods, and multivariate analysis","year":2016,"lang":"en","type":"article","venue":"Environmental Earth Sciences","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":224,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Groundwater; Environmental science; Variogram; Water quality; Kriging; Principal component analysis; Hydrology (agriculture); Geostatistics; Pollution; Spatial variability; Multivariate statistics; Statistics; Geology; Mathematics; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003944374,0.0001822459,0.0005251839,0.000114925,0.0001454846,0.00001872706,0.0002758918,0.00007314279,0.00311537],"category_scores_gemma":[0.00003881324,0.0001054965,0.0001428963,0.0003020359,0.002584887,0.0003703988,0.0004106647,0.00007275389,0.000007800479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006280033,"about_ca_system_score_gemma":0.00001593137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004789177,"about_ca_topic_score_gemma":0.0001887929,"domain_scores_codex":[0.9963005,0.00109937,0.0009482721,0.0004822885,0.0008427063,0.0003268759],"domain_scores_gemma":[0.9987015,0.0003966598,0.0004878362,0.0002826136,0.000004644549,0.0001267264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000140263,0.0002096911,0.5966271,0.00002111487,0.000074346,3.927761e-7,0.0005101276,0.0002776231,0.3988091,0.0004721864,7.013987e-7,0.002983694],"study_design_scores_gemma":[0.0003832628,0.0001449016,0.9031149,0.00001188592,0.00009482966,0.000001035465,0.0002045544,0.0009583654,0.09442729,0.0004046504,0.00009295997,0.0001614358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9291379,0.00001778779,0.07006305,0.00008852888,0.00004586178,0.0001507094,0.0002543404,0.000005951299,0.0002358543],"genre_scores_gemma":[0.9312621,0.00002038774,0.06858022,0.00002396253,0.000006691244,0.00000341314,0.00001337361,0.000004680213,0.00008519855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3064878,"threshold_uncertainty_score":0.9977959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05880783400886702,"score_gpt":0.3949664253993833,"score_spread":0.3361585913905162,"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."}}