{"id":"W4324020426","doi":"10.1021/acs.est.2c07798","title":"Advances in Catchment Science, Hydrochemistry, and Aquatic Ecology Enabled by High-Frequency Water Quality Measurements","year":2023,"lang":"en","type":"review","venue":"Environmental Science & Technology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Alberta","funders":"Swiss Federal Institute for Forest, Snow and Landscape Research; Helmholtz-Zentrum für Umweltforschung; Sveriges Lantbruksuniversitet; Vetenskapsrådet; University of Waterloo; Eidgenössische Technische Hochschule Zürich; Svenska Forskningsrådet Formas; Albert-Ludwigs-Universität Freiburg; University of Notre Dame; Directorate for Biological Sciences; Aarhus Universitet","keywords":"Water quality; Environmental science; Biogeochemical cycle; STREAMS; Sophistication; Scope (computer science); Aquatic ecosystem; Hydrology (agriculture); Drainage basin; Environmental resource management; Ecology; Geography; Computer science; Engineering; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002814216,0.0006448288,0.001269984,0.0008815152,0.001041342,0.00005395413,0.002079513,0.0004246054,0.0004476473],"category_scores_gemma":[0.0001848996,0.0005052883,0.00008376307,0.002382086,0.01378095,0.0007376405,0.0039479,0.0005714428,0.001255679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002806739,"about_ca_system_score_gemma":0.00007483576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001582156,"about_ca_topic_score_gemma":0.0006104656,"domain_scores_codex":[0.9940716,0.0001107273,0.0009634103,0.002127115,0.001030793,0.001696377],"domain_scores_gemma":[0.9985622,0.00007443849,0.000370879,0.0008000963,0.000002804133,0.0001895437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002298322,0.001972061,0.2124342,0.003082189,0.0001868535,0.0001756445,0.0006455939,0.00004440649,0.03099455,0.0005327868,0.002009198,0.7478995],"study_design_scores_gemma":[0.002748468,0.0009786249,0.02455149,0.001831542,0.00075846,0.0001209864,0.001354621,0.00004160706,0.01141282,0.0185139,0.9325528,0.00513473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1421926,0.8302045,0.00003215354,0.00148543,0.001291992,0.005232657,0.00005814345,0.0006292388,0.01887324],"genre_scores_gemma":[0.0839062,0.9142067,0.0002207567,0.0001126526,0.00001301687,0.0007357582,0.000034823,0.00003618064,0.0007339341],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9305435,"threshold_uncertainty_score":0.9997399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187347829965404,"score_gpt":0.2834741866979605,"score_spread":0.2647394037014201,"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."}}