{"id":"W3166855067","doi":"10.5194/egusphere-egu21-3620","title":"Assessing the representation of the Australian carbon cycle in global vegetation models","year":2021,"lang":"en","type":"article","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Biome; Carbon cycle; Environmental science; Atmospheric sciences; Vegetation (pathology); Climatology; Carbon fibers; Precipitation; Climate change; Ecosystem; Ecology; Meteorology; Biology; Geography; Physics; Mathematics; Geology","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":[0.001567095,0.0005728932,0.0004077398,0.0004364036,0.0004127509,0.000886078,0.0009015714,0.0008088347,0.0008431058],"category_scores_gemma":[0.005028392,0.0004954252,0.0005481591,0.0006371882,0.0004077686,0.0009068784,0.0008690151,0.0006993649,0.00009682617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842464,"about_ca_system_score_gemma":0.001063509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1091032,"about_ca_topic_score_gemma":0.06791651,"domain_scores_codex":[0.9996186,0.0001963911,0.0000216934,0.0000643346,0.00005590617,0.00004305049],"domain_scores_gemma":[0.9988041,0.0006810705,0.0001120187,0.0001199946,0.0001999175,0.00008287722],"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":[0.00003729983,0.0000313257,0.01084354,0.00003610507,0.00007835306,0.00003229944,0.00005818053,0.9839606,0.0006077222,0.0009844424,0.0002331798,0.003096904],"study_design_scores_gemma":[0.00001057128,0.00002555702,0.005588846,0.00000716576,0.000018013,0.000006489387,0.00002173373,0.9932193,0.000191465,0.0005081862,0.0003940632,0.000008621344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875404,0.0003488562,0.007081975,0.0003574615,0.00002722231,0.00003099026,0.0005270343,0.0001243928,0.003961698],"genre_scores_gemma":[0.9961684,0.0001156585,0.002931322,0.00005023405,0.000006359575,0.00002119484,0.000303122,0.00002240185,0.0003811813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1091032,"threshold_uncertainty_score":0.2169362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749798179096812,"score_gpt":0.2707237161808786,"score_spread":0.2532257343899105,"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."}}