{"id":"W1960171269","doi":"10.1002/2015jg002980","title":"Seasonal controls of canopy chlorophyll content on forest carbon uptake: Implications for GPP modeling","year":2015,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"Environment Canada; Natural Sciences and Engineering Research Council of Canada; Northern Michigan University","keywords":"Leaf area index; Canopy; Environmental science; Atmospheric sciences; Deciduous; Eddy covariance; Growing season; Photosynthetically active radiation; Carbon cycle; Photosynthetic capacity; Ecosystem; Primary production; Photosynthesis; Botany; Ecology; Biology; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008874713,0.0003233643,0.0003186144,0.0002123809,0.000377589,0.00081183,0.000644612,0.0004704987,0.0007711275],"category_scores_gemma":[0.002770153,0.0002584328,0.0003289457,0.0004152857,0.0003617914,0.0006548077,0.0002697858,0.0003849565,0.0001085289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002739582,"about_ca_system_score_gemma":0.00136407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.271322,"about_ca_topic_score_gemma":0.1778397,"domain_scores_codex":[0.9998512,0.00004860984,0.00001057493,0.00004091165,0.00002622254,0.00002236005],"domain_scores_gemma":[0.9993024,0.0004655642,0.00006370126,0.00004597283,0.00008398436,0.00003839698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00009892351,0.0000477552,0.08366627,0.00004171746,0.00006870947,0.00006367102,0.00007888126,0.8997535,0.004840656,0.001101323,0.0006035548,0.00963496],"study_design_scores_gemma":[0.000009091095,0.000008725087,0.02339468,0.000004244619,0.000009018945,0.000007354088,0.00001722982,0.9756128,0.0004000625,0.0003618955,0.0001684729,0.000006355189],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785059,0.0002391807,0.01626881,0.0005277721,0.00001497686,0.00003095191,0.0007234696,0.0003266112,0.003362307],"genre_scores_gemma":[0.997472,0.00005474276,0.002019481,0.00002308407,0.000003506546,0.00001308101,0.000124606,0.00003617547,0.0002533419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.271322,"threshold_uncertainty_score":0.5394853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.116840752697784,"score_gpt":0.3340152600082064,"score_spread":0.2171745073104224,"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."}}