{"id":"W7106514872","doi":"10.70645/3078-3437.1051","title":"Water Quality Assessment of the Tigris River in Baghdad Using the Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI)","year":2025,"lang":"en","type":"article","venue":"AUIQ technical engineering science.","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Sampling (signal processing); Hydrology (agriculture); Index (typography); Pollution; Dry season; Water resources; Water pollution; Seasonality","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":[0.005444962,0.0001605753,0.0002608637,0.00006873459,0.0002420181,0.00002356285,0.001263962,0.0001040605,0.0001377861],"category_scores_gemma":[0.00009433883,0.00007343773,0.0001359815,0.0004956702,0.002104767,0.0001312073,0.0007283058,0.0003101245,0.000003052189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002424261,"about_ca_system_score_gemma":0.0005342194,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07043466,"about_ca_topic_score_gemma":0.01328083,"domain_scores_codex":[0.9969206,0.0002043719,0.0007305696,0.0003170228,0.001371767,0.0004556242],"domain_scores_gemma":[0.9987899,0.00008882665,0.0001326292,0.0008804539,0.00002849103,0.00007968072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000008746414,0.0001661606,0.1977163,0.00007925404,0.00002064857,4.516552e-7,0.002375157,0.2043014,0.590267,0.00481758,0.00006102167,0.0001863173],"study_design_scores_gemma":[0.0001931632,0.00001534574,0.8758816,0.00005144349,0.00001376951,7.000041e-7,0.00008984172,0.003404293,0.1174911,0.0003445031,0.002390698,0.0001235376],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931271,0.000006266989,0.00160438,0.002361223,0.0002318806,0.0004032243,0.00002186601,0.00001037427,0.002233658],"genre_scores_gemma":[0.9989126,0.00000157343,0.0006780469,0.0001952909,0.000004416616,0.00001460076,6.405808e-7,0.000005454675,0.0001874179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6781653,"threshold_uncertainty_score":0.9357554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0449367598220289,"score_gpt":0.2942345892602671,"score_spread":0.2492978294382382,"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."}}