{"id":"W1913840600","doi":"10.1002/grl.50166","title":"Biogeochemical carbon coupling influences global precipitation in geoengineering experiments","year":2013,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Office of Science; University of Victoria; U.S. Department of Energy","keywords":"Biogeochemical cycle; Environmental science; Carbon cycle; Atmospheric sciences; Precipitation; Coupled model intercomparison project; Primary production; Climate change; Carbon fibers; Climatology; Climate model; Ecosystem; Environmental chemistry; Chemistry; Meteorology; Ecology; Geology; Oceanography; Materials science; Physics","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":[0.0001905491,0.0001278419,0.0001261082,0.00005872109,0.00005304928,0.0000670614,0.0002418857,0.00005071815,0.000222648],"category_scores_gemma":[0.00009940809,0.00012481,0.00003570573,0.0006066723,0.0001382873,0.0002675499,0.0002652797,0.0002605058,0.0005481472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003884911,"about_ca_system_score_gemma":0.000004530562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008301573,"about_ca_topic_score_gemma":0.00005370676,"domain_scores_codex":[0.9981569,0.00002497432,0.0001684074,0.0003295107,0.0006217718,0.000698404],"domain_scores_gemma":[0.9995319,0.0001121843,0.00001649722,0.0001773135,0.00001336336,0.0001487474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000009074325,0.00006893426,0.07687237,0.00001565131,0.000005955256,0.00001378016,0.0004677158,0.01232778,0.9085699,0.00002103082,0.0006282989,0.0009994815],"study_design_scores_gemma":[0.0005214627,0.00008272198,0.797684,0.00009392716,0.000003164449,0.000002011976,0.0004694539,0.1660126,0.03337223,0.001042807,0.0002895282,0.0004261616],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981639,0.00003001298,0.0000212438,0.0008682774,0.00006256945,0.0002703252,0.000002996108,0.00003794905,0.0005427104],"genre_scores_gemma":[0.9994164,0.000008334501,0.0001830669,0.0001087401,0.00008967175,0.0001621296,0.00001113919,0.00001036783,0.00001013954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8751977,"threshold_uncertainty_score":0.9983022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03505220495507627,"score_gpt":0.3125371769829084,"score_spread":0.2774849720278321,"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."}}