{"id":"W4410616361","doi":"10.1175/jcli-d-24-0028.1","title":"Nonlinear Carbon Feedbacks in CMIP6 and Their Impacts on Future Freshwater Availability","year":2025,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Division of Atmospheric and Geospace Sciences; National Oceanic and Atmospheric Administration; Lamont-Doherty Earth Observatory, Columbia University; Directorate for Geosciences; Dartmouth College; Climate Program Office; University of St Andrews; Commonwealth Scientific and Industrial Research Organisation; U.S. Department of Energy; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Climatology; Environmental science; Nonlinear system; Carbon cycle; Geology; Ecosystem; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000880592,0.0007037303,0.0002961668,0.000526534,0.0004898067,0.001014664,0.0005683508,0.0009113204,0.004052107],"category_scores_gemma":[0.002368261,0.000313449,0.0005595621,0.0006916388,0.0005521518,0.001063947,0.0009704104,0.0007299477,0.0003111375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175186,"about_ca_system_score_gemma":0.0005755874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01578629,"about_ca_topic_score_gemma":0.006890874,"domain_scores_codex":[0.9998537,0.00003707373,0.00001114784,0.00003321455,0.00002821268,0.00003646771],"domain_scores_gemma":[0.9995052,0.0001947991,0.00006318893,0.00005085127,0.0001204935,0.00006551939],"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":[0.0003862589,0.00008373574,0.1056203,0.0002210625,0.0001553563,0.0004105525,0.0001316704,0.8403512,0.02715125,0.008837041,0.002929677,0.01372194],"study_design_scores_gemma":[0.00008655206,0.0001088382,0.1407006,0.00003684027,0.00006422606,0.0001556456,0.0002134174,0.8383076,0.006786359,0.008663741,0.004774004,0.0001021614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876372,0.0001969151,0.002640618,0.001143392,0.0000524478,0.0000169382,0.002065563,0.0003307307,0.005916386],"genre_scores_gemma":[0.9989009,0.00005745013,0.0004095223,0.00004934167,0.000007441185,0.000007612782,0.0002709654,0.0000279253,0.0002688793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01578629,"threshold_uncertainty_score":0.03138882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005924376873603166,"score_gpt":0.2126914503611956,"score_spread":0.2067670734875924,"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."}}