{"id":"W3094399159","doi":"10.1007/s11270-020-04910-6","title":"Assessment of Groundwater Quality Changes in the Rural Environment of the Hungarian Great Plain Based on Selected Water Quality Indicators","year":2020,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Debreceni Egyetem","keywords":"Sewerage; Groundwater; Environmental science; Water quality; Pollution; Settlement (finance); Environmental engineering; Hydrology (agriculture); Water resource management; Groundwater pollution; Engineering; Aquifer; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001034007,0.0001967288,0.0002640061,0.00005623715,0.0001376908,0.0000254368,0.0003982056,0.0001052135,0.0006075385],"category_scores_gemma":[0.00001175719,0.00008508955,0.0001002842,0.0001672817,0.0001754199,0.00008938115,0.00003723639,0.0002412703,0.00002715686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002757175,"about_ca_system_score_gemma":0.00002957171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004959829,"about_ca_topic_score_gemma":0.001804737,"domain_scores_codex":[0.9975613,0.0007667558,0.000441246,0.0002667859,0.0005845252,0.0003793778],"domain_scores_gemma":[0.9994143,0.00004197613,0.0001120822,0.0003509845,0.00001348911,0.00006716999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001904641,0.0001524676,0.9378525,0.0001312725,0.00003286929,0.000002306881,0.005502329,0.004797594,0.04946596,0.00001577548,0.00006464399,0.001791787],"study_design_scores_gemma":[0.0004625721,0.0001853272,0.8129258,0.00001615737,0.0000157047,8.975899e-7,0.0003801367,0.001186586,0.1843295,0.00005560279,0.0003148955,0.0001268314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905018,0.000008018599,0.00008046303,0.008212685,0.00007988774,0.0002953625,0.00008244958,0.00001387126,0.0007254655],"genre_scores_gemma":[0.9982736,0.000003289442,0.0000233219,0.001237668,0.00006215108,0.000007825815,0.0003380323,0.000004620758,0.00004953786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1348635,"threshold_uncertainty_score":0.749781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560996703833618,"score_gpt":0.2275187766268212,"score_spread":0.211908809588485,"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."}}