{"id":"W3210639994","doi":"10.1007/s10584-021-03249-z","title":"The relationship between net GHG emissions and radiative forcing with an application to Article 4.1 of the Paris Agreement","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; National Science Foundation","keywords":"Greenhouse gas; Radiative forcing; Environmental science; Global-warming potential; Scaling; Forcing (mathematics); Global warming; Atmospheric sciences; Methane; Climate change; Climatology; Mathematics; Physics; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003668289,0.0007098169,0.0004717813,0.001703109,0.0008759137,0.003556711,0.0009523429,0.001393786,0.005539952],"category_scores_gemma":[0.01602384,0.0002620619,0.001052113,0.002780183,0.001608931,0.0009643275,0.001307781,0.0020427,0.0005359542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004655349,"about_ca_system_score_gemma":0.0019969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09486169,"about_ca_topic_score_gemma":0.04043838,"domain_scores_codex":[0.998161,0.001164058,0.00004149374,0.0001712441,0.0002965802,0.000165671],"domain_scores_gemma":[0.9890097,0.008901858,0.0007031333,0.0002574071,0.0009490041,0.000178905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002459887,0.0001842732,0.1055478,0.0003930438,0.000349462,0.002083451,0.0009978601,0.4264175,0.0009987246,0.3930141,0.0249401,0.04482783],"study_design_scores_gemma":[0.00008549554,0.0002498747,0.1280985,0.0001805636,0.0001935597,0.0003308431,0.001766731,0.6916066,0.001499724,0.1407835,0.03494231,0.0002622136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7032043,0.006438592,0.07399934,0.01887777,0.001104958,0.0002216249,0.002996207,0.0007695204,0.1923878],"genre_scores_gemma":[0.9827588,0.001242055,0.007019592,0.0003155384,0.000220081,0.0001079215,0.0005020979,0.00007385786,0.007759999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09486169,"threshold_uncertainty_score":0.1886191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056853154049097,"score_gpt":0.2527542772206159,"score_spread":0.2221857456801249,"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."}}