{"id":"W2587268412","doi":"10.25130/tjes.23.2.07","title":"Evaluation of Ground Water Quality Status by Using Water Quality Indices at Basheqa Region, Iraq","year":2016,"lang":"en","type":"article","venue":"Tikrit Journal of Engineering Sciences","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Christian ministry; Irrigation; Inner mongolia; Environmental science; Water source; Livestock; Water quality; Groundwater; Environmental engineering; Statistical analysis; Hydrology (agriculture); Forestry; Geography; Water resource management; Mathematics; Engineering; China; Statistics; Agronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006825927,0.0003008801,0.0002025746,0.001327728,0.0003471571,0.0005339055,0.0002885638,0.0002532235,0.0006523255],"category_scores_gemma":[0.0005189246,0.0001327584,0.0002336626,0.001641674,0.0002915474,0.0003170061,0.0002728426,0.0001596779,0.0001373905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008067456,"about_ca_system_score_gemma":0.0007398282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05104845,"about_ca_topic_score_gemma":0.08044476,"domain_scores_codex":[0.9996762,0.00008092427,0.0000226478,0.00005791124,0.00009778371,0.00006446661],"domain_scores_gemma":[0.9995234,0.00005535833,0.0001331979,0.00002153563,0.00023299,0.00003354938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009379369,0.0001066261,0.9506563,0.00008916052,0.0001319533,0.0003227616,0.001298032,0.003067666,0.007686364,0.0002576189,0.0007718206,0.03551778],"study_design_scores_gemma":[0.000005456868,0.00009698264,0.9900928,0.0000132537,0.00003258279,0.00007681769,0.002074008,0.004814444,0.00141521,0.00006119232,0.001305197,0.00001207949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997395,0.0000749652,0.0006127103,0.00003881217,0.000003907835,0.00002350768,0.0004001409,0.00001446898,0.001436468],"genre_scores_gemma":[0.9979979,0.00006735387,0.001150127,0.00001194304,0.000003632088,0.00001685054,0.0003588825,0.000002346909,0.0003908773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05104845,"threshold_uncertainty_score":0.1015027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1109980547253072,"score_gpt":0.3514082153143042,"score_spread":0.240410160588997,"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."}}