{"id":"W4313984403","doi":"10.1002/clen.202200321","title":"Assessment of the Present State and Future Fate of River Saraswati, India: Water Quality Indices and Forecast Models as Diagnostic and Management Tools","year":2023,"lang":"en","type":"article","venue":"CLEAN - Soil Air Water","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Kalyani; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Quality (philosophy); Water quality; State (computer science); Water resource management; Environmental science; Computer science; Philosophy; Epistemology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005239634,0.0004372021,0.0002266973,0.0009953879,0.000181318,0.00117107,0.0003676693,0.0003234399,0.0006400818],"category_scores_gemma":[0.000904704,0.0001561723,0.0003600161,0.0008529441,0.0002335085,0.0005834014,0.0004600054,0.0003735568,0.0001863858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009706634,"about_ca_system_score_gemma":0.0008052081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04017263,"about_ca_topic_score_gemma":0.03383347,"domain_scores_codex":[0.9998592,0.0000386587,0.00001066352,0.00002900397,0.00003867061,0.0000239282],"domain_scores_gemma":[0.9995337,0.0001665726,0.00009463861,0.00003012574,0.0001486171,0.00002642914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000171594,0.0001637591,0.1831839,0.0001349879,0.0001427799,0.0003038041,0.0002246035,0.7273495,0.004038676,0.002391899,0.002712585,0.07918189],"study_design_scores_gemma":[0.000005047435,0.00005956609,0.03469595,0.00001234655,0.00003416856,0.000029708,0.0001966586,0.9627092,0.001242676,0.0004903412,0.0005000051,0.00002429703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518142,0.0003508489,0.03696264,0.0006571501,0.00005006895,0.00007298047,0.001252373,0.0007984542,0.008041254],"genre_scores_gemma":[0.9958171,0.0001182374,0.002815557,0.00001241528,0.000006282776,0.00001593926,0.0003027309,0.000007940658,0.0009037311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04017263,"threshold_uncertainty_score":0.07987761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02949037022629052,"score_gpt":0.2850460228964308,"score_spread":0.2555556526701403,"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."}}