{"id":"W4390420972","doi":"10.4108/eai.23-11-2022.2341583","title":"Water Quality Status of an Urban River in Jakarta – Nature-Based Solution Recommendations for Water Quality Improvement","year":2023,"lang":"en","type":"article","venue":"","topic":"Wetland Management and Conservation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"U.S. Forest Service; Universitas Pertamina","keywords":"Watershed; Water quality; Water resource management; Drainage basin; Environmental science; Hydrology (agriculture); Quality (philosophy); Bank; Geography; Geology; Ecology; Computer science; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001845184,0.0001348356,0.0001330594,0.0004803945,0.0008427355,0.0009107552,0.0001615079,0.0001592061,0.001354044],"category_scores_gemma":[0.0002527225,0.00007460494,0.0001137456,0.0009589686,0.0002815414,0.0002238851,0.0003618657,0.00016528,0.0001278136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506346,"about_ca_system_score_gemma":0.001400812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1106433,"about_ca_topic_score_gemma":0.2804846,"domain_scores_codex":[0.9998513,0.00003752994,0.00001557426,0.00002130337,0.00004467156,0.00002953435],"domain_scores_gemma":[0.9998894,0.00001899494,0.00002069576,0.000006339286,0.00004920526,0.00001533757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005943828,0.0007991257,0.8867651,0.0002738625,0.0001621039,0.002206826,0.003301203,0.01457561,0.03664285,0.002219766,0.001530456,0.05092867],"study_design_scores_gemma":[0.000008574707,0.0001529105,0.971899,0.00003357595,0.00005874985,0.0001921712,0.008053245,0.008758359,0.007168664,0.0002180575,0.003435596,0.00002108683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969884,0.00004692868,0.0001360204,0.00005000994,0.000002233781,0.00001919433,0.000219434,0.000005586048,0.002532268],"genre_scores_gemma":[0.9986682,0.00004794966,0.0002091046,0.000009807142,7.371114e-7,0.000008041387,0.0001457389,0.000002029322,0.0009083346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1106433,"threshold_uncertainty_score":0.2199985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03743632640911008,"score_gpt":0.3024362432980621,"score_spread":0.264999916888952,"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."}}