{"id":"W3122084874","doi":"10.1038/s43247-020-00064-9","title":"An integrated approach to quantifying uncertainties in the remaining carbon budget","year":2021,"lang":"en","type":"article","venue":"Communications Earth & Environment","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University; Simon Fraser University; Concordia University","funders":"Natural Environment Research Council; European Commission; Natural Sciences and Engineering Research Council of Canada; Simon Fraser University; University of Melbourne; Sight Research UK","keywords":"Environmental science; Carbon fibers; Range (aeronautics); Greenhouse gas; Climate change; Socioeconomic status; Climatology; Carbon cycle; Atmospheric sciences; Meteorology; Computer science; Geography; Physics; Engineering; Geology; Demography; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003325466,0.001217874,0.001082582,0.004070204,0.0004455749,0.004312597,0.001425698,0.001169679,0.002820128],"category_scores_gemma":[0.009023289,0.0006793063,0.001533649,0.003958867,0.0008449937,0.003355043,0.002635838,0.001136578,0.0001864498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002353593,"about_ca_system_score_gemma":0.002063904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02033172,"about_ca_topic_score_gemma":0.01544414,"domain_scores_codex":[0.9981611,0.0005983745,0.0001232147,0.0004167544,0.0005672673,0.0001332778],"domain_scores_gemma":[0.9955691,0.002512106,0.0007129352,0.0002948392,0.0007761462,0.0001349252],"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":[0.00005472452,0.00006481009,0.0138228,0.0001565606,0.0007718244,0.0001796519,0.0001339779,0.8889617,0.002487097,0.05192712,0.0006256335,0.04081406],"study_design_scores_gemma":[0.000007832347,0.00004064386,0.009271896,0.00009137301,0.0001461268,0.0000577136,0.0001189687,0.8936983,0.001081231,0.09107421,0.004339901,0.00007182827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1550584,0.002189745,0.8173631,0.0009610479,0.00009268174,0.0001618078,0.003345924,0.000386437,0.02044086],"genre_scores_gemma":[0.8425796,0.0009279071,0.1527186,0.0001283926,0.0000940445,0.0002009649,0.001372028,0.0001223679,0.001856089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02033172,"threshold_uncertainty_score":0.04042673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03873027067808041,"score_gpt":0.2601336489484673,"score_spread":0.2214033782703869,"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."}}