{"id":"W2186745633","doi":"","title":"Assessment of Water Quality of Tigris River by using Water Quality Index (CCME WQI)","year":2012,"lang":"en","type":"article","venue":"Al-Nahrain Journal of Science","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbidity; Water quality; Environmental science; Alkalinity; Total dissolved solids; Nitrate; Index (typography); Hydrology (agriculture); Work (physics); Environmental engineering; Oceanography; Geology; Engineering; Ecology; Chemistry","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":[0.0004795111,0.0003976355,0.0002761405,0.002341696,0.0004088967,0.0005793737,0.0003376287,0.000283708,0.0005952935],"category_scores_gemma":[0.0007057831,0.00009119583,0.0003578444,0.003605311,0.0002673772,0.0002702469,0.0005103287,0.0002103228,0.0001639636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461309,"about_ca_system_score_gemma":0.001552157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06894986,"about_ca_topic_score_gemma":0.1420962,"domain_scores_codex":[0.9994276,0.00006956126,0.00004194683,0.00006734134,0.0003233676,0.00007028309],"domain_scores_gemma":[0.9996709,0.0000329199,0.00008187509,0.00002359231,0.0001676452,0.00002306118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001330915,0.0001333951,0.7882602,0.0003039371,0.0001456384,0.0002916416,0.0007768941,0.004196995,0.03129224,0.0006404427,0.002790993,0.1710345],"study_design_scores_gemma":[0.000009136068,0.000219103,0.9769605,0.00002608105,0.00004534855,0.0002149429,0.001005987,0.0056152,0.00966257,0.0003079539,0.005898639,0.00003453063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767294,0.0005000421,0.006842723,0.0002025093,0.00002921083,0.0002527366,0.00381159,0.0001546068,0.01147724],"genre_scores_gemma":[0.9845825,0.0003238485,0.0107972,0.00003688151,0.000007964054,0.00009619075,0.002492073,0.00001014184,0.001653153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06894986,"threshold_uncertainty_score":0.1370971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06669362846326557,"score_gpt":0.3830645287275128,"score_spread":0.3163709002642473,"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."}}