{"id":"W4383104784","doi":"10.5194/egusphere-2023-1127-supplement","title":"Supplementary material to \"Carbon cycle feedbacks in an idealized and a scenario simulation of negative emissions in CMIP6 Earth system models\"","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Carbon cycle; Earth system science; Greenhouse gas; Earth (classical element); Carbon fibers; Earth science; Atmospheric sciences; Geology; Computer science; Ecosystem; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008712627,0.001709432,0.001205255,0.001508041,0.0005619118,0.001448893,0.002797848,0.001671555,0.7048211],"category_scores_gemma":[0.009307387,0.0009830513,0.001103227,0.00286214,0.000249593,0.001350764,0.001086607,0.001202262,0.145701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027496,"about_ca_system_score_gemma":0.001357094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01189444,"about_ca_topic_score_gemma":0.009748429,"domain_scores_codex":[0.9995185,0.00008888908,0.00004634983,0.00008363674,0.0001769557,0.00008562421],"domain_scores_gemma":[0.995137,0.002918024,0.0002052893,0.0004950162,0.0009747167,0.0002698868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000113745,0.000198133,0.0006039918,0.0005900533,0.00009598938,0.0001531129,0.00003782126,0.01683016,0.0005798613,0.01159766,0.9593943,0.009805171],"study_design_scores_gemma":[0.002839329,0.0002221067,0.01090352,0.0004715184,0.0001326793,0.0006554471,0.0002145858,0.2102013,0.005825141,0.1104077,0.6578802,0.0002466113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005519922,0.0002220345,0.02119088,0.002054895,0.003712693,0.0001646827,0.9195096,0.007205917,0.0404193],"genre_scores_gemma":[0.05450007,0.0006729353,0.03813457,0.00157768,0.00200868,0.0008318308,0.8366734,0.01224072,0.05336015],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7048211,"threshold_uncertainty_score":0.4210369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717406244997476,"score_gpt":0.2523417669465889,"score_spread":0.2351677044966141,"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."}}