{"id":"W4321490869","doi":"10.5194/egusphere-egu23-2813","title":"Is destabilisation risk increasing in land carbon sinks?","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Biome; Environmental science; Climatology; Autocorrelation; Carbon sink; Atmospheric sciences; Climate change; Ecology; Ecosystem; Mathematics; Geology; Statistics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009195952,0.0002469325,0.0004602578,0.001052429,0.0004168097,0.001397624,0.0004390311,0.0007466566,0.003556997],"category_scores_gemma":[0.004679874,0.0002201796,0.0003860537,0.0006869913,0.0014705,0.002293692,0.001240997,0.0005578011,0.000314713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000648296,"about_ca_system_score_gemma":0.0003528686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003330304,"about_ca_topic_score_gemma":0.002710771,"domain_scores_codex":[0.9996054,0.00006551283,0.00002109715,0.0001785175,0.00004935307,0.00008018957],"domain_scores_gemma":[0.9977378,0.0005611345,0.001008536,0.0002279251,0.0001916678,0.0002731108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003960042,0.00006427044,0.9132993,0.0002243924,0.0003733365,0.001127497,0.001595176,0.007200385,0.01474692,0.01194069,0.001926795,0.04710522],"study_design_scores_gemma":[0.000009069513,0.00007206218,0.9534753,0.00004300823,0.00008931037,0.0007721576,0.001621791,0.008577284,0.001271535,0.03074791,0.003284351,0.00003632953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888082,0.001542176,0.002436556,0.002899996,0.0000243198,0.000006900501,0.0002855535,0.00008223009,0.003914],"genre_scores_gemma":[0.9992265,0.0003132128,0.0001373006,0.00008306311,0.00003149667,0.000001945597,0.00005231186,0.000009468043,0.0001447832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003556997,"threshold_uncertainty_score":0.01189935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155547736664354,"score_gpt":0.2229504261363126,"score_spread":0.2073956524698772,"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."}}