{"id":"W3109703770","doi":"10.1029/2020gb006613","title":"Climate‐Driven Variability and Trends in Plant Productivity Over Recent Decades Based on Three Global Products","year":2020,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"Natural Environment Research Council; Sight Research UK; Nuclear Safety and Security Commission; European Space Agency; National Aeronautics and Space Administration","keywords":"Environmental science; Biosphere; Climatology; FluxNet; Tropics; Primary production; Carbon cycle; Atmospheric sciences; Latitude; Vegetation (pathology); Climate change; Global change; Temporal scales; Ecosystem; Geography; Ecology; Eddy covariance; Geology","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":[0.0001811415,0.0002021925,0.0002002264,0.00001385151,0.00005236187,0.00003345978,0.0001767998,0.0001261898,0.0001210344],"category_scores_gemma":[0.000127124,0.0001721451,0.00003825487,0.0006428259,0.0001917959,0.0001036496,0.0002252651,0.000139374,0.00002526303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003128127,"about_ca_system_score_gemma":0.00001019397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001891844,"about_ca_topic_score_gemma":0.0003113913,"domain_scores_codex":[0.998356,0.00006535857,0.0002172845,0.0007094663,0.0002965315,0.0003553387],"domain_scores_gemma":[0.9995072,0.00002592143,0.00005511896,0.0002307434,0.000006488106,0.0001745063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002035731,0.0001996024,0.9823071,0.00001342045,0.000004760967,0.00001130652,0.00001419131,0.001409689,0.003799564,0.0003081728,0.0003213024,0.0114073],"study_design_scores_gemma":[0.0005636273,0.00008911074,0.934796,0.00002150258,0.00002035686,0.00001048017,0.000003322612,0.05782729,0.002623688,0.002100776,0.001616058,0.0003277998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912227,0.00001803337,0.00001781408,0.003756531,0.00004450202,0.0001774805,0.001842937,0.00006263722,0.002857386],"genre_scores_gemma":[0.9985188,0.00001705182,0.0008432298,0.0002782766,0.00003502297,0.000009472268,0.000293186,0.000004456136,5.169643e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0564176,"threshold_uncertainty_score":0.7019872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210731510071357,"score_gpt":0.2255935727179546,"score_spread":0.213486257617241,"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."}}