{"id":"W4244704947","doi":"10.5194/essd-12-2725-2020","title":"Improved estimate of global gross primary production for reproducing its long-term variation, 1982–2017","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":402,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Fund for Distinguished Young Scholars; National Key Research and Development Program of China","keywords":"Primary production; Environmental science; Eddy covariance; Atmospheric sciences; Latitude; Climatology; Term (time); Vegetation (pathology); Satellite; Longitude; Vapour Pressure Deficit; Meteorology; Ecosystem; Geography; 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":[0.001327132,0.000112127,0.000166901,0.00001837265,0.0002773963,0.00009518673,0.001003119,0.00003584385,0.000009980915],"category_scores_gemma":[0.0003171399,0.00009943047,0.00002349372,0.000626297,0.0001836168,0.001344357,0.0006074154,0.00005120011,0.0000448669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001131087,"about_ca_system_score_gemma":0.00008344922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008570052,"about_ca_topic_score_gemma":0.00005137556,"domain_scores_codex":[0.9980473,0.00002714481,0.0003396074,0.0009385965,0.0003784789,0.0002688862],"domain_scores_gemma":[0.9985526,0.00001293335,0.000257327,0.001017355,0.00004357239,0.0001162657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001659385,0.0001683608,0.197325,0.001119023,0.0000447226,0.00001310015,0.001329245,0.05294489,0.7294266,0.001160048,0.001117667,0.01518543],"study_design_scores_gemma":[0.0002544408,0.00007162556,0.2993287,0.00007802743,0.00003243786,0.00006488435,0.00001753206,0.6972008,0.002589611,0.00001229251,0.0001416661,0.0002079136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605139,0.00003855923,0.03426018,0.0006647579,0.0006783286,0.001079779,0.002042836,0.0001018536,0.0006198336],"genre_scores_gemma":[0.9934298,0.00000327122,0.005972344,0.00003312995,0.00008686279,0.00001116568,0.0003986246,0.000005763789,0.0000589981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7268369,"threshold_uncertainty_score":0.4054657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03123168608127702,"score_gpt":0.2658930150150557,"score_spread":0.2346613289337787,"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."}}