{"id":"W2332896468","doi":"10.1101/040246","title":"A universal model for carbon dioxide uptake by plants","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Macquarie University; National Science Foundation; Imperial College London; Natural Resources Canada; Université Laval; Australian National Data Service; Oak Ridge National Laboratory; Biological and Environmental Research; Canadian Foundation for Climate and Atmospheric Sciences; Microsoft Research; Lawrence Berkeley National Laboratory; Australian Government; U.S. Department of Energy","keywords":"Biome; Carbon dioxide; Transpiration; Primary production; Carbon dioxide in Earth's atmosphere; Atmosphere (unit); Carbon cycle; Photosynthesis; Atmospheric sciences; Carbon fibers; Environmental science; Flux (metallurgy); Ecology; Ecosystem; Mathematics; Chemistry; Thermodynamics; Botany; Biology; 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":[0.0009480069,0.0006737088,0.0009238732,0.0006702732,0.0004565565,0.001037694,0.001935355,0.001484854,0.003384996],"category_scores_gemma":[0.001765224,0.0003362736,0.001312713,0.0006197314,0.002042639,0.002165229,0.001683849,0.0009818367,0.0006830094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447787,"about_ca_system_score_gemma":0.0007741684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003882374,"about_ca_topic_score_gemma":0.001678901,"domain_scores_codex":[0.9995748,0.0000753744,0.00001475351,0.0001759694,0.00008105818,0.00007802474],"domain_scores_gemma":[0.9995627,0.0001789989,0.00006948991,0.0000730735,0.00006576318,0.00004999826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003106139,0.00003195787,0.001948223,0.00009348125,0.00004677221,0.0002200069,0.0002405724,0.4007945,0.007734521,0.579502,0.00123743,0.008119375],"study_design_scores_gemma":[0.000009289881,0.0000172339,0.0005828653,0.000009336884,0.00001526284,0.0001073401,0.00002323506,0.8859537,0.0004728478,0.1112963,0.001495889,0.00001677473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1914142,0.0009532628,0.7648365,0.002325214,0.000118364,0.00006820128,0.000758905,0.000845753,0.03867944],"genre_scores_gemma":[0.9603777,0.0004782471,0.0278853,0.0002494893,0.00007479,0.0001214825,0.0002105124,0.0001613054,0.01044122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003882374,"threshold_uncertainty_score":0.01132399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009773052806668694,"score_gpt":0.1878340314291158,"score_spread":0.1780609786224471,"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."}}