{"id":"W4291535890","doi":"10.1038/s41467-022-32416-8","title":"Process-oriented analysis of dominant sources of uncertainty in the land carbon sink","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Carbon sink; Sink (geography); Process (computing); Computer science; Carbon fibers; Environmental science; Ecology; Biology; Geography; Climate change; Algorithm; Cartography","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":[0.003468758,0.0006003739,0.0005916173,0.001689822,0.0004457099,0.002037187,0.0008270544,0.0005767261,0.002649104],"category_scores_gemma":[0.0100579,0.0003217407,0.0008964634,0.0009045764,0.0009238419,0.002314981,0.00102667,0.0007915772,0.000111987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128561,"about_ca_system_score_gemma":0.0008535408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004214971,"about_ca_topic_score_gemma":0.002002165,"domain_scores_codex":[0.9994757,0.0001779053,0.00001958154,0.00009217862,0.0001646447,0.0000700544],"domain_scores_gemma":[0.9932292,0.005225266,0.0006023414,0.0001916824,0.0005560901,0.0001954327],"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":[0.000134087,0.00005706698,0.01428102,0.0001069826,0.0001870105,0.0002873938,0.0001593638,0.7705187,0.005349265,0.1974977,0.0004344411,0.01098705],"study_design_scores_gemma":[0.000004815219,0.00001312321,0.001891202,0.000006846352,0.00002041216,0.00002039484,0.00002913613,0.929262,0.0003896606,0.06811467,0.0002360992,0.00001161302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5749289,0.0005604698,0.4105946,0.001049947,0.0000377892,0.0000903601,0.0006557048,0.0002231772,0.01185909],"genre_scores_gemma":[0.9919476,0.0001312396,0.00707705,0.00003488212,0.0000195007,0.00002678665,0.0001348445,0.00003643217,0.0005916891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004214971,"threshold_uncertainty_score":0.01834476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006665391301423931,"score_gpt":0.2456081002560041,"score_spread":0.2389427089545801,"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."}}