{"id":"W2623603904","doi":"10.1002/2016ef000480","title":"Model prediction of biome‐specific global soil respiration from 1960 to 2012","year":2017,"lang":"en","type":"article","venue":"Earth s Future","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Guangxi University","keywords":"Biome; Tundra; Environmental science; Shrubland; Soil carbon; Grassland; Carbon cycle; Taiga; Soil respiration; Global change; Precipitation; Global warming; Climate change; Atmospheric sciences; Climatology; Ecosystem; Ecology; Soil science; Soil water; Geography; Meteorology; Biology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004186716,0.0001057566,0.0001128276,0.00003337414,0.00009747875,0.00005515322,0.0001476909,0.0001522893,0.00004693054],"category_scores_gemma":[0.000006507209,0.00009878251,0.00004122344,0.00007475744,0.00001499774,0.0002579802,0.00001946321,0.0001017819,0.00007854416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001716487,"about_ca_system_score_gemma":0.00001189555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004593568,"about_ca_topic_score_gemma":0.0002179275,"domain_scores_codex":[0.9994394,0.000006956158,0.0001377383,0.000138231,0.0001414332,0.0001362794],"domain_scores_gemma":[0.9994393,0.00000355713,0.00003569236,0.0004063337,0.00004277568,0.00007235968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002259874,0.00007451699,0.009487997,0.00006851267,0.000176722,0.00001121259,0.001617092,0.4317513,0.14206,0.001348238,0.1823814,0.2307969],"study_design_scores_gemma":[0.0009435658,0.00008869237,0.4183091,0.00008528503,0.00003193782,0.00000226673,0.00007710319,0.3785953,0.01794041,0.0008184204,0.1827478,0.0003601481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816104,0.0009518942,0.00606314,0.0003048823,0.002628857,0.0001175336,0.0005890948,0.0002010754,0.007533085],"genre_scores_gemma":[0.9963952,0.00008016996,0.001625407,0.00003421028,0.001565062,0.000005197582,0.00006516871,0.00001345232,0.0002161118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4088211,"threshold_uncertainty_score":0.4028234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808281910551447,"score_gpt":0.2156422295720177,"score_spread":0.1975594104665032,"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."}}