{"id":"W4387334251","doi":"10.2166/wst.2023.320","title":"Thermal properties of treatment wetlands operated under freezing conditions","year":2023,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Lehigh Hanson (Canada); Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Clogging; Environmental science; Wetland; Snow; Aeration; Vegetation (pathology); Hydrology (agriculture); Snowmelt; Environmental engineering; Atmospheric sciences; Geotechnical engineering; Meteorology; Geology; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001562434,0.000171807,0.0001880099,0.0005209923,0.0003557763,0.00003456309,0.0005213561,0.00008642842,0.0003944285],"category_scores_gemma":[0.000008831557,0.00009829078,0.00004122987,0.001756608,0.002373611,0.0002546371,0.0004772242,0.00006847327,0.0007765596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003635245,"about_ca_system_score_gemma":0.00004864891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003183662,"about_ca_topic_score_gemma":0.0001404409,"domain_scores_codex":[0.998484,0.00001739583,0.000231638,0.0004410036,0.000239892,0.0005860348],"domain_scores_gemma":[0.9993972,0.000005289028,0.00004116864,0.0004646679,0.00002231939,0.00006941508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005472211,0.00004310219,0.0425289,0.000001761869,0.0000115559,0.000008678165,0.000720472,0.003257196,0.9517953,0.0001566682,0.00001102444,0.001459901],"study_design_scores_gemma":[0.000456879,0.0002770406,0.004759729,0.00001374807,0.00001603311,0.00002403875,0.0006413365,0.001341777,0.9913204,0.000556339,0.0004492238,0.0001435023],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969827,0.000008286032,0.00001887059,0.0009997673,0.000117023,0.0002508192,0.000009515708,0.0003655617,0.001247474],"genre_scores_gemma":[0.9990919,0.000007302507,0.0001520561,0.00002483293,0.000006542687,0.00008589626,0.0000108962,0.00001170087,0.000608918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03952508,"threshold_uncertainty_score":0.9981362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652791417314519,"score_gpt":0.2272672551668672,"score_spread":0.210739340993722,"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."}}