{"id":"W1988058830","doi":"10.1006/jema.2000.0401","title":"A two-dimensional water-quality model for a winding and topographically complicated river","year":2001,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"U.S. Army Corps of Engineers; National Natural Science Foundation of China","keywords":"Water quality; Environmental science; Hydrology (agriculture); Quality (philosophy); Water resources; Bank; Pollutant; Water resource management; Geology; Geotechnical engineering; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007584909,0.0001601889,0.0002136409,0.00007363024,0.0001743115,0.00003109275,0.0001834157,0.00003927305,0.0005325635],"category_scores_gemma":[0.00000217828,0.0001200649,0.0001320849,0.00005564286,0.0002398265,0.0002396797,0.0002970572,0.0001143721,0.00003751555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001978892,"about_ca_system_score_gemma":0.000001815555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001574926,"about_ca_topic_score_gemma":0.000004956456,"domain_scores_codex":[0.9984318,0.00007353743,0.0005230088,0.0002320299,0.0004550517,0.0002845507],"domain_scores_gemma":[0.9994469,0.00002909966,0.0002009843,0.0001528289,0.000003143855,0.0001670487],"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":[0.003176012,0.006174486,0.1899595,0.0002237666,0.001478337,0.0003536596,0.0065891,0.340598,0.3612272,0.0102211,0.006332611,0.07366614],"study_design_scores_gemma":[0.0114061,0.0009445113,0.8390278,0.0001024017,0.000449493,0.000368588,0.0006917852,0.07242047,0.003119237,0.04101488,0.02926231,0.001192471],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837891,0.00002646196,0.01349476,0.001331572,0.00006862697,0.0003277048,0.00001702836,0.000009628156,0.0009351031],"genre_scores_gemma":[0.9815234,0.00005789273,0.01647389,0.0008834905,0.00002986671,0.00001157149,0.000008022095,0.00001172245,0.001000176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6490682,"threshold_uncertainty_score":0.5831197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03071063008703994,"score_gpt":0.2839042668272421,"score_spread":0.2531936367402021,"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."}}