{"id":"W2105413850","doi":"10.5376/ijms.2015.05.0049","title":"Analysis of Water Quality Using Physico-Chemical Parameters in the Shatt AL-Arab Estuary, Iraq","year":2015,"lang":"en","type":"article","venue":"International Journal of Marine Science","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estuary; Environmental science; Water quality; Hydrology (agriculture); Oceanography; Geology; Ecology; Biology; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002929768,0.0003101016,0.0002136544,0.0007983993,0.0005489057,0.0005390283,0.0002253491,0.0002841051,0.0005062857],"category_scores_gemma":[0.00024522,0.0002051222,0.0001920373,0.001454379,0.0004031411,0.0002594341,0.0002549116,0.0001567997,0.0001571945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006528035,"about_ca_system_score_gemma":0.0008490458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02525606,"about_ca_topic_score_gemma":0.04392249,"domain_scores_codex":[0.9998348,0.00002361945,0.00001480466,0.00003863332,0.00005351315,0.00003464555],"domain_scores_gemma":[0.9998013,0.00001941885,0.00005988087,0.000007866437,0.00009418561,0.00001737291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001564974,0.000132623,0.9472139,0.00009283599,0.00008342678,0.0005788256,0.001241282,0.001192536,0.03168701,0.0001220155,0.0004479895,0.01705107],"study_design_scores_gemma":[0.000005734485,0.00007681911,0.994856,0.000007773504,0.00001745306,0.0001173085,0.001126114,0.001021741,0.001841276,0.00003198653,0.0008896908,0.000008115236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986927,0.00005671897,0.000205225,0.0000266249,0.000002589297,0.00001532569,0.0002536154,0.000007737855,0.0007393839],"genre_scores_gemma":[0.9982933,0.000118668,0.000497056,0.00003129995,0.000005833116,0.00002447351,0.0003685277,0.000002334835,0.0006585835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02525606,"threshold_uncertainty_score":0.05021811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08425025317323702,"score_gpt":0.3755850350252116,"score_spread":0.2913347818519745,"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."}}