{"id":"W3040952716","doi":"10.5194/bg-17-3563-2020","title":"Response of carbon and water fluxes to meteorological and phenological variability in two eastern North American forests of similar age but contrasting species composition – a multiyear comparison","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Global Water Futures; Ministère de l’Environnement, de la Protection de la nature et des Parcs; University of British Columbia; Ministry of Environment; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; McMaster University; Ontario Ministry of Natural Resources and Forestry; Ministry of Natural Resources","keywords":"Evergreen; Deciduous; Environmental science; Phenology; Evapotranspiration; Temperate deciduous forest; Temperate forest; Temperate climate; Forest ecology; Evergreen forest; Temperate rainforest; Ecosystem; Forestry; Ecology; Atmospheric sciences; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003591485,0.0001827377,0.000191434,0.0004411648,0.0002947185,0.0003064724,0.0001591474,0.0001892405,0.000487128],"category_scores_gemma":[0.0003057398,0.0001189484,0.0002201428,0.0004691446,0.0001517693,0.0003141707,0.0002410038,0.0001339254,0.00006836085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003440336,"about_ca_system_score_gemma":0.0001683879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01814511,"about_ca_topic_score_gemma":0.05932301,"domain_scores_codex":[0.9998957,0.00002080116,0.000007946112,0.00003625438,0.00001773409,0.00002147593],"domain_scores_gemma":[0.9996754,0.00004628598,0.0001033554,0.00002143992,0.00008494156,0.00006864387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002066729,0.0000811072,0.99011,0.0000168376,0.0001255786,0.0001099325,0.0003058354,0.0002392254,0.004884316,0.00001397357,0.00009040131,0.003816116],"study_design_scores_gemma":[5.563435e-7,0.000009240147,0.9997174,5.191397e-7,0.0000054788,0.00001074845,0.00006717496,0.00009851364,0.0000447553,0.00000230743,0.00004253699,7.46561e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998015,0.00002679763,0.00002285956,0.000002514648,8.716746e-7,0.000001383529,0.00008103983,0.000001255088,0.00006184808],"genre_scores_gemma":[0.9992772,0.0000351949,0.0001006773,0.000009460798,0.000002774047,0.000007589164,0.0004214627,0.000001098175,0.000144666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9818549,"threshold_uncertainty_score":0.03607899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273451458781233,"score_gpt":0.2424538488965602,"score_spread":0.2197193343087479,"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."}}