{"id":"W4403049171","doi":"10.21608/ejabf.2024.382128","title":"Application of the Canadian Index (CCME WQI) to Assess Water Quality for Aquatic Life: A Case Study of Water Quality for the Khoser and Tigris Rivers in the North of Nineveh Governorate","year":2024,"lang":"en","type":"article","venue":"Egyptian Journal of Aquatic Biology and Fisheries","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Mosul","keywords":"Index (typography); Water quality; Fishery; Environmental science; Quality (philosophy); Water resource management; Ecology; Biology; Computer science","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":[0.002791363,0.000102104,0.000261241,0.00004036824,0.0001637614,0.00002724575,0.0002185279,0.00006623348,0.00002483896],"category_scores_gemma":[0.00009680857,0.00004244605,0.00006080846,0.0001128603,0.0004058547,0.0001096028,0.00005635052,0.0001376621,6.095697e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004619933,"about_ca_system_score_gemma":0.0000597792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.070508,"about_ca_topic_score_gemma":0.310498,"domain_scores_codex":[0.9983935,0.0005372522,0.00062428,0.0001352099,0.0001456396,0.0001641126],"domain_scores_gemma":[0.99905,0.0004676391,0.0002101915,0.0001850547,0.0000241954,0.00006288264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001713373,0.0001203316,0.9435443,0.0001318135,0.0001442358,0.000003709476,0.05184854,0.0002054875,0.001218674,0.0002918219,0.0002062928,0.002113502],"study_design_scores_gemma":[0.00098751,0.0009582692,0.9675075,0.00003130757,0.0001455552,0.00004483891,0.02152405,0.001456972,0.001178082,0.002871553,0.003145505,0.0001488575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987526,0.00003766563,0.004028156,0.007537252,0.00008853029,0.0007028729,0.00005924743,0.000001217183,0.00001905301],"genre_scores_gemma":[0.9994038,0.000005801544,0.0001857227,0.0003061164,0.00002053503,0.00003591267,0.00000303454,0.000004271609,0.00003485247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.23999,"threshold_uncertainty_score":0.9356816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06246672460698782,"score_gpt":0.3255766701465613,"score_spread":0.2631099455395735,"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."}}