{"id":"W4389538334","doi":"10.52293/wes.3.3.5964","title":"Impact of sub-rivers feeding the Shatt Al- Arab River on its water quality","year":2023,"lang":"en","type":"article","venue":"Water and Environmental Sustainability","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Environmental science; Hydrology (agriculture); Geology; Ecology; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001259703,0.0002479093,0.0002346155,0.00004123916,0.0003566009,0.00003399752,0.0002314823,0.0000803451,0.001653832],"category_scores_gemma":[0.0000172119,0.0001240558,0.00018845,0.00009263826,0.0008617186,0.0002693804,0.0005895596,0.0001808003,0.000426656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008896179,"about_ca_system_score_gemma":0.000006315812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001043073,"about_ca_topic_score_gemma":0.00001185704,"domain_scores_codex":[0.9977837,0.0003158453,0.0003633349,0.0004774833,0.0004364164,0.0006232799],"domain_scores_gemma":[0.9993278,0.00006382845,0.00005401613,0.0003989838,0.000004857641,0.0001504667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003508502,0.0005324176,0.8214203,0.0000876529,0.000100003,0.0000156295,0.02022334,0.006578071,0.1425469,0.00008537123,0.001799166,0.006260365],"study_design_scores_gemma":[0.0004282093,0.0002057382,0.9426234,0.000003520405,0.00001603591,0.000002350487,0.001210379,0.0002302558,0.05021564,0.002647093,0.002191848,0.0002255781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966248,0.000005911345,0.00001582053,0.002271299,0.00006521029,0.0004468983,0.00006833365,0.00004340145,0.000458336],"genre_scores_gemma":[0.9988874,0.00003954976,0.000005455949,0.0002015182,0.00001795509,0.00002720801,0.00008771124,0.00001387399,0.0007193405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1212031,"threshold_uncertainty_score":0.9992588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444358550573185,"score_gpt":0.2966708494838062,"score_spread":0.2722272639780744,"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."}}