{"id":"W3185454543","doi":"10.1002/hyp.14323","title":"Understanding the peak growing season ecosystem water‐use efficiency at four boreal fens in the Athabasca oil sands region","year":2021,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Imperial Oil Limited; Shell Canada; Alberta Environment and Parks; Suncor Energy Incorporated","keywords":"Water-use efficiency; Environmental science; Evapotranspiration; Eddy covariance; Peat; Growing season; Boreal; Ecosystem; Taiga; Water cycle; Wetland; Atmospheric sciences; Hydrology (agriculture); Agronomy; Ecology; Irrigation; Biology; Geology","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":[0.0006045272,0.0001834132,0.000209827,0.00002065213,0.0005707969,0.0001121746,0.000429197,0.00013503,0.0002464546],"category_scores_gemma":[0.0002526574,0.00008048981,0.00007157183,0.0003685468,0.0001740728,0.0002353036,0.00035933,0.0002406668,0.00006275918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002424643,"about_ca_system_score_gemma":0.00001936173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009846743,"about_ca_topic_score_gemma":0.005069607,"domain_scores_codex":[0.9981299,0.0002969655,0.0002371318,0.0004642638,0.0003185647,0.0005531626],"domain_scores_gemma":[0.9990771,0.0005118845,0.00006348691,0.0002701386,0.0000111868,0.00006615574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001795303,0.0003748359,0.982168,0.0001474552,0.00002314253,0.001707328,0.004033771,0.005860177,0.001686063,0.0005851692,0.002733166,0.000501352],"study_design_scores_gemma":[0.005318436,0.001850679,0.8539228,0.0003353995,0.0002523361,0.005968371,0.006888913,0.03199005,0.007260649,0.01487697,0.06910475,0.002230575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831212,0.0001040107,0.0003845093,0.004779448,0.00006859426,0.00009747523,0.000003721905,0.00004494111,0.01139614],"genre_scores_gemma":[0.9982577,0.0001634216,0.00001093526,0.0011027,0.00006606611,0.00003816624,0.00002646116,0.000009231171,0.0003253158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1282451,"threshold_uncertainty_score":0.4390166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06257816546637443,"score_gpt":0.2303905707538433,"score_spread":0.1678124052874688,"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."}}