{"id":"W4240353206","doi":"10.5194/esdd-6-1579-2015","title":"Divergent predictions of carbon storage between two global land models: attribution of the causes through traceability analysis","year":2015,"lang":"en","type":"preprint","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sport Centre Pacific","funders":"U.S. Department of Energy; Pacific Northwest National Laboratory; National Science Foundation","keywords":"Environmental science; Carbon cycle; Biomass (ecology); Carbon sequestration; Ecosystem; Primary production; Greenhouse gas; Atmospheric sciences; Carbon fibers; Traceability; Residence time (fluid dynamics); Terrestrial ecosystem; Ecology; Carbon dioxide; Computer science; Mathematics; Biology; Statistics; Engineering; Physics","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":[0.001270486,0.0005872924,0.0003910789,0.000744381,0.0002856214,0.0008891183,0.0006973765,0.0005937854,0.000737637],"category_scores_gemma":[0.004238376,0.00025544,0.001006821,0.0006961881,0.0005727417,0.001206077,0.0008582011,0.0006070935,0.00007016315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594701,"about_ca_system_score_gemma":0.0007300235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02064592,"about_ca_topic_score_gemma":0.008971813,"domain_scores_codex":[0.9997271,0.00008552292,0.00001781726,0.00007803751,0.00005387729,0.00003758384],"domain_scores_gemma":[0.9984901,0.0008282024,0.0001884665,0.0001739243,0.0002306312,0.00008869699],"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":[0.0003710661,0.00009975789,0.09932695,0.00005539907,0.0002403564,0.0001120647,0.0001093525,0.8813156,0.007460599,0.002154744,0.0002363325,0.008517656],"study_design_scores_gemma":[0.00003435886,0.00007937596,0.01749418,0.000004342217,0.00003314163,0.0000145858,0.00007178834,0.9783675,0.002560232,0.001135046,0.0001873598,0.00001804121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925476,0.00003388402,0.006094958,0.00008071431,0.000005442355,0.00001296146,0.0002184001,0.0001304081,0.0008756581],"genre_scores_gemma":[0.9984806,0.000009701477,0.001203186,0.000008938118,0.000001567965,0.000006396691,0.0001946358,0.00002202165,0.000072955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02064592,"threshold_uncertainty_score":0.04105151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1365432784447771,"score_gpt":0.3066195338639504,"score_spread":0.1700762554191733,"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."}}