{"id":"W2509141605","doi":"10.1002/ece3.2479","title":"Potential and limitations of inferring ecosystem photosynthetic capacity from leaf functional traits","year":2016,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Inversa Systems (Canada); Environment and Climate Change Canada","funders":"Lawrence Berkeley National Laboratory; Horizon 2020; Environment Canada; Natural Sciences and Engineering Research Council of Canada; International Max Planck Research School for global Biogeochemical Cycles; National Science Foundation; Vrije Universiteit Amsterdam; Ministerstvo Školství, Mládeže a Tělovýchovy; U.S. Department of Energy; European Commission; University of Virginia; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; International Max Planck Research School for Environmental, Cellular and Molecular Microbiology; Université Laval; Natural Resources Canada; Nanjing University of Information Science and Technology; Oak Ridge National Laboratory; Canadian Foundation for Climate and Atmospheric Sciences; Microsoft Research","keywords":"Photosynthetic capacity; Photosynthetically active radiation; Ecosystem; Photosynthesis; Environmental science; Eddy covariance; Atmospheric sciences; Leaf area index; Plant functional type; Vegetation (pathology); Terrestrial ecosystem; Ecology; Biology; Botany; Physics","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":[0.01300321,0.0009161304,0.0007600366,0.001367196,0.0002165104,0.00147182,0.001022229,0.0006645714,0.0004187612],"category_scores_gemma":[0.03975582,0.0004169702,0.000542034,0.002004184,0.0004568928,0.001626552,0.0009764805,0.0006016145,0.0002334497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003130877,"about_ca_system_score_gemma":0.0005015162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003234186,"about_ca_topic_score_gemma":0.002864406,"domain_scores_codex":[0.9936345,0.004699638,0.0003296623,0.0006487768,0.0005859953,0.0001015294],"domain_scores_gemma":[0.9506395,0.03906828,0.00364883,0.004568228,0.001876367,0.0001988795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004753629,0.0001185062,0.7562227,0.001214821,0.002500492,0.0001603793,0.0004459274,0.06197764,0.02399082,0.002339353,0.0007172339,0.1498367],"study_design_scores_gemma":[0.00004645445,0.0003992225,0.676721,0.0004688088,0.0007700795,0.0005437265,0.0006378883,0.2775984,0.02228806,0.01556812,0.004791367,0.000166783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8167891,0.005589578,0.1698874,0.00066913,0.00007263063,0.00006226829,0.002875593,0.0003631366,0.003691152],"genre_scores_gemma":[0.9736998,0.0009141127,0.02410681,0.0001335602,0.00005104028,0.00004892452,0.0008119063,0.00004449253,0.0001893315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01300321,"threshold_uncertainty_score":0.06876838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012828786180263,"score_gpt":0.1656638999977618,"score_spread":0.1528351138174988,"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."}}