{"id":"W2790297778","doi":"10.1088/1748-9326/aaafdd","title":"The influence of non-CO <sub>2</sub> forcings on cumulative carbon emissions budgets","year":2018,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Simon Fraser University; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; Sight Research UK; U.S. Department of Energy","keywords":"Environmental science; Greenhouse gas; Limiting; Global warming; Carbon fibers; Climate change; Climatology; Radiative forcing; Atmospheric sciences; Carbon cycle; Forcing (mathematics); Mathematics; Ecosystem","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":[0.001009567,0.0008250272,0.000436171,0.0004395715,0.0004397524,0.001150615,0.0006401776,0.000638508,0.002252413],"category_scores_gemma":[0.003170693,0.0003638467,0.001367365,0.000598011,0.0005104727,0.001257576,0.0005656104,0.0008437543,0.0002761447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001366484,"about_ca_system_score_gemma":0.001324227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04170738,"about_ca_topic_score_gemma":0.03362012,"domain_scores_codex":[0.9996146,0.0001257631,0.00002721797,0.00008603369,0.00007615871,0.00007029706],"domain_scores_gemma":[0.9990039,0.0005099833,0.0001030617,0.000160106,0.0001592164,0.0000637987],"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":[0.0001214353,0.00005217142,0.04076114,0.00011799,0.000287461,0.0001354635,0.00003887796,0.9355843,0.01056583,0.004554497,0.001210422,0.006570339],"study_design_scores_gemma":[0.0001151415,0.0001076653,0.1242175,0.00006686241,0.0002531158,0.00009948276,0.000149212,0.845321,0.01414028,0.007971569,0.007435007,0.0001231477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687653,0.0006225957,0.01219606,0.0006330319,0.0001148959,0.00003450215,0.00329642,0.0002784271,0.01405891],"genre_scores_gemma":[0.9951079,0.0002285819,0.002732988,0.0001372633,0.00001345526,0.00004508761,0.001049259,0.0001422927,0.0005430863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04170738,"threshold_uncertainty_score":0.08292925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01165661776917344,"score_gpt":0.275228048573275,"score_spread":0.2635714308041016,"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."}}