{"id":"W2238258921","doi":"10.5194/gmd-2015-252","title":"On constraining the strength of the terrestrial CO <sub>2</sub> fertilization effect in an Earth system model","year":2016,"lang":"en","type":"article","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"","keywords":"Biogeochemical cycle; Carbon cycle; Environmental science; Earth system science; Primary production; Atmosphere (unit); Atmospheric sciences; Flux (metallurgy); Productivity; Coupled model intercomparison project; Carbon fibers; Greenhouse gas; Climatology; Climate change; Climate model; Chemistry; Ecosystem; Meteorology; Ecology; Biology; Economics; Geology; Mathematics; Environmental chemistry; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002500167,0.001150596,0.0006713251,0.000466885,0.0006108778,0.001112667,0.001157744,0.001018134,0.001370406],"category_scores_gemma":[0.008851136,0.0006001167,0.0005513765,0.0004736129,0.000823558,0.0008583296,0.0008505012,0.0007525592,0.0001122639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002217298,"about_ca_system_score_gemma":0.003689244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2724811,"about_ca_topic_score_gemma":0.2088657,"domain_scores_codex":[0.9995573,0.0002217067,0.00002283012,0.00006989382,0.00004754695,0.00008066232],"domain_scores_gemma":[0.9964415,0.002481082,0.0003265293,0.0001946433,0.0004050208,0.0001511397],"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":[0.00006748911,0.0000189226,0.0058742,0.0000232144,0.00004158946,0.00001578714,0.000009409472,0.9919339,0.0004023536,0.0006417542,0.0001443606,0.000826839],"study_design_scores_gemma":[0.00005466225,0.00003733978,0.002561567,0.00001162112,0.00003242738,0.000003485547,0.0000163004,0.9959946,0.0006558907,0.0003773606,0.0002442024,0.00001054468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721062,0.0003059905,0.01610345,0.000426874,0.00003385095,0.00007387018,0.001589449,0.000291667,0.009068641],"genre_scores_gemma":[0.9932144,0.00006872397,0.005454128,0.0001355488,0.000008523973,0.00003371345,0.0006823462,0.0000434965,0.0003591839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2724811,"threshold_uncertainty_score":0.5417902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0081033383859582,"score_gpt":0.2023506603536195,"score_spread":0.1942473219676613,"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."}}