{"id":"W4400134870","doi":"10.1007/s12145-024-01389-1","title":"Comparative evaluation of spatiotemporal variations of surface water quality using water quality indices and GIS","year":2024,"lang":"en","type":"article","venue":"Earth Science Informatics","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Akdeniz Üniversitesi; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Water quality; Environmental science; Surface water; Sampling (signal processing); Quality (philosophy); Water resource management; Pollution; Hydrology (agriculture); Environmental resource management; Environmental engineering; Computer science; Engineering","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":[0.00803345,0.00009571442,0.0001921795,0.00007894659,0.0001881727,0.0001030448,0.0001676703,0.00004069188,0.0005918617],"category_scores_gemma":[0.00003549941,0.00006056856,0.0000325119,0.0003132524,0.0008632511,0.001627606,0.000180842,0.00008553429,0.00005930434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008217051,"about_ca_system_score_gemma":0.00009883894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248912,"about_ca_topic_score_gemma":0.0001393805,"domain_scores_codex":[0.9974269,0.000222144,0.0007696079,0.000130383,0.001238076,0.000212872],"domain_scores_gemma":[0.9994202,0.00005351552,0.0001773343,0.0001961009,0.0000837984,0.00006900448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002513402,0.000180857,0.05097985,0.000509996,0.00005612045,2.551578e-7,0.5120447,0.1280906,0.299482,0.004418788,0.00004714316,0.004164417],"study_design_scores_gemma":[0.0002714882,0.0000640438,0.1916308,0.00005369504,0.00004188874,0.000002211186,0.003181603,0.370612,0.4315617,0.001945821,0.0004293607,0.0002053046],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992274,0.000008184263,0.005218481,0.0001832231,0.0001369803,0.0002385822,0.00003770963,0.00001492797,0.001887855],"genre_scores_gemma":[0.9909308,0.00000180323,0.008975147,0.00003178397,0.000006411599,0.000001745919,0.00001380027,0.00000194834,0.00003653737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5088632,"threshold_uncertainty_score":0.648047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1577496964696631,"score_gpt":0.4138387577511931,"score_spread":0.2560890612815301,"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."}}