{"id":"W2979985574","doi":"10.1029/2018gb006135","title":"Underestimation of Global Photosynthesis in Earth System Models Due to Representation of Vegetation Structure","year":2019,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Division of Graduate Education; Horizon 2020 Framework Programme; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; National Centre for Earth Observation; Natural Environment Research Council; Met Office; European Commission; Sight Research UK","keywords":"Biosphere; Environmental science; Shortwave radiation; Canopy; Atmospheric sciences; Photosynthetically active radiation; Photosynthesis; Carbon cycle; Shortwave; Interception; Vegetation (pathology); Radiation; Ecosystem; Radiative transfer; Ecology; Geology; Physics; Botany; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008385765,0.0005722353,0.0004396134,0.0002366924,0.0002561932,0.0007015072,0.0004399207,0.0005863681,0.0009061435],"category_scores_gemma":[0.003852193,0.0003267447,0.0006355298,0.0004936819,0.0004111567,0.0008237184,0.0006479075,0.0005024603,0.000152975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008664415,"about_ca_system_score_gemma":0.0005049196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02505642,"about_ca_topic_score_gemma":0.01516997,"domain_scores_codex":[0.9996452,0.0001781489,0.00002802241,0.00005410576,0.00005470471,0.00003984353],"domain_scores_gemma":[0.9985486,0.000904666,0.0001436016,0.0002187383,0.0001277911,0.00005662232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005233985,0.000020173,0.01527002,0.00004006802,0.00006583314,0.00003274442,0.00003033234,0.9783859,0.003017977,0.0004022933,0.0001679094,0.002514397],"study_design_scores_gemma":[0.00003427329,0.00006677903,0.01301642,0.00001370599,0.0000316427,0.00002209274,0.00003175435,0.9841107,0.001947453,0.0003984261,0.0003147268,0.00001195602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986961,0.0002378168,0.009570693,0.0001983566,0.00002729814,0.00001789173,0.000511136,0.0002679501,0.002207766],"genre_scores_gemma":[0.9981926,0.00006615927,0.001316997,0.00002817317,0.000003719371,0.000009642881,0.0001543538,0.00003234358,0.0001959917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02505642,"threshold_uncertainty_score":0.04982114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007569502610122832,"score_gpt":0.2188579902568707,"score_spread":0.2112884876467479,"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."}}