{"id":"W4416427851","doi":"10.1016/j.dib.2025.112290","title":"Dataset of high-frequency water quality and meteorological variables in Buffalo Pound Lake, Saskatchewan, Canada, 2014 – 2021","year":2025,"lang":"en","type":"article","venue":"Data in Brief","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Wilfrid Laurier University; Plant Biotechnology Institute; Global Institute for Water Security","funders":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada; Mitacs; Water Security Agency; Canada Foundation for Innovation; Global Institute for Water Security, University of Saskatchewan; Government of Saskatchewan; Canada First Research Excellence Fund; University of Saskatchewan","keywords":"Buoy; Wind speed; Sampling (signal processing); Photosynthetically active radiation; Water quality; Open water; Chlorophyll a; Pelagic zone; Seasonality","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00118515,0.0001103314,0.0002838924,0.00002519688,0.00003066448,0.0000173696,0.0004995023,0.00007853856,0.001337698],"category_scores_gemma":[0.00008622231,0.0000847194,0.000006800547,0.0001278489,0.0001059772,0.0001941485,0.0006965551,0.0001263666,0.000010426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008301283,"about_ca_system_score_gemma":0.00007712562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9379618,"about_ca_topic_score_gemma":0.9967861,"domain_scores_codex":[0.9985394,0.0001637289,0.0004775616,0.0004101132,0.0001798838,0.0002292443],"domain_scores_gemma":[0.9988685,0.0001813961,0.00006935062,0.0008316634,0.000003735184,0.00004534868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002733088,0.0001045138,0.9138039,0.00008957074,0.0000185785,0.00003852912,0.00008768111,0.0001962726,0.0009722346,0.001631303,0.08211064,0.0009194826],"study_design_scores_gemma":[0.0007908515,0.00002489538,0.8960487,0.00005445208,0.00001829117,0.000005147717,0.0002086245,0.001839871,0.0001588861,0.005509051,0.09507096,0.0002703143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9587001,0.0001007299,0.0003725121,0.0005294784,0.0001299981,0.0001915115,0.03903843,0.000002855038,0.0009344128],"genre_scores_gemma":[0.9798366,0.0000237744,0.001654747,0.000389333,0.00001024235,0.000007307903,0.01795089,0.000003892217,0.0001231655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05882424,"threshold_uncertainty_score":0.9995752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629681785716042,"score_gpt":0.253684538332649,"score_spread":0.2373877204754886,"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."}}