{"id":"W4400397003","doi":"10.47176/jwss.28.1.56121","title":"Evaluation of Surface Water Quality of the Gorganrood River Basin for Different Uses with Canadian (CCME) Water Quality Index Approach","year":2024,"lang":"en","type":"article","venue":"Journal of Water and Soil Science","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Index (typography); Quality (philosophy); Environmental science; Structural basin; Surface water; Hydrology (agriculture); Water resource management; Geology; Environmental engineering; Geomorphology; Computer science; Geotechnical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007344388,0.0004191999,0.000532398,0.003325796,0.0008529774,0.001132522,0.0005509345,0.0002577763,0.001000856],"category_scores_gemma":[0.0009094753,0.0001836928,0.0008722262,0.005757194,0.0004101946,0.0003912887,0.001012909,0.000230045,0.0001167019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008411044,"about_ca_system_score_gemma":0.01057726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9095038,"about_ca_topic_score_gemma":0.9656522,"domain_scores_codex":[0.9986653,0.0001044489,0.00005961255,0.00009200257,0.0009209659,0.0001575612],"domain_scores_gemma":[0.9992454,0.00003453266,0.00005276681,0.00002205243,0.0005779876,0.00006727252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004047941,0.0001208707,0.774561,0.0007294268,0.0006325312,0.0005197337,0.001028981,0.03265395,0.01102075,0.003393991,0.008526664,0.1664072],"study_design_scores_gemma":[0.00001850026,0.00004421416,0.9766209,0.00003954584,0.00008715303,0.00007773856,0.0009922694,0.01088791,0.001646174,0.0002138856,0.009332054,0.00003966217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9394481,0.0008842069,0.004564487,0.0002323813,0.00002569856,0.0003366783,0.01428143,0.00015553,0.04007156],"genre_scores_gemma":[0.9777476,0.0004686642,0.01062483,0.00004051852,0.000004386584,0.000126493,0.006158095,0.00003470112,0.004794708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09049624,"threshold_uncertainty_score":0.1820583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06352608630493137,"score_gpt":0.3151282142432672,"score_spread":0.2516021279383358,"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."}}