{"id":"W4283661702","doi":"10.3390/hydrology9070116","title":"Evaluating the Performance of Water Quality Indices: Application in Surface Water of Lake Union, Washington State-USA","year":2022,"lang":"en","type":"article","venue":"Hydrology","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Surface water; Categorization; Index (typography); Environmental science; Quality (philosophy); Hydrology (agriculture); Environmental resource management; Computer science; Environmental engineering; Engineering; Artificial intelligence; Ecology","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":[0.004289292,0.00007211044,0.000145109,0.00002459568,0.0001307073,0.000003150623,0.0002700394,0.00003195074,0.002195901],"category_scores_gemma":[0.000005413364,0.00004280517,0.00002624771,0.0001042478,0.000178901,0.00008361244,0.000350695,0.0001700673,0.00006658832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000727321,"about_ca_system_score_gemma":0.000008490499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002098394,"about_ca_topic_score_gemma":0.002158502,"domain_scores_codex":[0.9978241,0.001028812,0.0004230412,0.0001853039,0.0003170693,0.0002217042],"domain_scores_gemma":[0.9995247,0.00005819591,0.0001364808,0.000255794,0.000006406661,0.00001848897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0000752731,0.0001095644,0.3672781,0.00002505849,0.000006605516,2.059945e-7,0.01008629,0.3853709,0.2361561,0.00005623013,0.00001497041,0.0008206785],"study_design_scores_gemma":[0.00108189,0.0009197094,0.4832408,0.000005767949,0.00001739054,0.000006212358,0.0004733159,0.05853625,0.4415498,0.001576699,0.01234039,0.0002517722],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998168,0.000003729741,0.00007048783,0.001189,0.00005472869,0.0002177889,0.00001577776,0.000006436853,0.0002740754],"genre_scores_gemma":[0.9993206,0.0000041871,0.00008114273,0.0002438874,0.000004401025,0.00003733566,0.00004564585,0.000004717131,0.00025808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3268346,"threshold_uncertainty_score":0.9987162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04159362353827674,"score_gpt":0.3275984095049375,"score_spread":0.2860047859666608,"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."}}