{"id":"W2897988501","doi":"10.1111/nph.15451","title":"Modelling carbon sources and sinks in terrestrial vegetation","year":2018,"lang":"en","type":"review","venue":"New Phytologist","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":310,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Center for Northern Studies","funders":"Stavros Niarchos Foundation; Eidgenössische Technische Hochschule Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Carbon sink; Environmental science; Carbon cycle; Biosphere; Sink (geography); Primary production; Vegetation (pathology); Carbon fibers; Photosynthesis; Carbon sequestration; Atmospheric sciences; Ecology; Climate change; Ecosystem; Carbon dioxide; Computer science; Biology; Geography; Botany","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001260912,0.0002038434,0.0004687688,0.00006369354,0.00003809181,0.00003996153,0.0001507105,0.0002758057,0.00001017073],"category_scores_gemma":[0.0000102236,0.000164414,0.00006703968,0.0001571755,0.0001523021,0.0000589775,0.00008902389,0.0002336447,0.00003674727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001065401,"about_ca_system_score_gemma":0.0000285996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001721521,"about_ca_topic_score_gemma":0.0007763863,"domain_scores_codex":[0.9989607,0.00006875581,0.0003059665,0.0003513038,0.0001221406,0.0001911164],"domain_scores_gemma":[0.9995728,0.00005030436,0.0001581769,0.0001609938,7.582606e-7,0.00005701402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001499503,0.00004716983,0.002487536,0.000688114,0.00003119188,0.00003526818,0.0002740166,0.03442782,7.812312e-7,0.00005023222,0.0001245017,0.9618184],"study_design_scores_gemma":[0.0003132295,0.00004874255,0.00004213356,0.001594022,0.0001431651,0.00003827493,0.000002955886,0.163237,4.391697e-7,0.001039031,0.8331419,0.0003990495],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005707607,0.9864126,0.0003218669,0.00001269027,0.0002369021,0.0003235408,0.000004743857,0.00003123992,0.006948786],"genre_scores_gemma":[0.004519172,0.9943948,0.000551929,0.000007568037,0.0001509488,0.00001425711,0.00005247396,0.0000169036,0.0002919372],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9614193,"threshold_uncertainty_score":0.6704608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04124636779203893,"score_gpt":0.2689348761471929,"score_spread":0.227688508355154,"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."}}