{"id":"W1962315276","doi":"10.1002/2013gl059099","title":"Recent and future trends in synthetic greenhouse gas radiative forcing","year":2014,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; Sight Research UK; Natural Environment Research Council; Australian Government; Commonwealth Scientific and Industrial Research Organisation; Department for Environment, Food and Rural Affairs, UK Government; National Aeronautics and Space Administration","keywords":"Radiative forcing; Greenhouse gas; Environmental science; Forcing (mathematics); Atmospheric sciences; Radiative transfer; Greenhouse effect; Climatology; Global warming; Climate change; Meteorology; Aerosol; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004079723,0.000140882,0.0001591845,0.00002740155,0.0001422225,0.00003053791,0.0002025647,0.00005400755,0.0005321314],"category_scores_gemma":[0.00003535648,0.0001224445,0.00003851935,0.0004656586,0.0005822062,0.0001554721,0.000301562,0.0004328259,0.0001825653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003171203,"about_ca_system_score_gemma":0.00000243611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000596025,"about_ca_topic_score_gemma":0.00008473442,"domain_scores_codex":[0.9980339,0.0002317742,0.0001335081,0.0004276435,0.0005622687,0.0006109403],"domain_scores_gemma":[0.9993787,0.0001525526,0.00002571407,0.000246235,0.000002345663,0.0001944457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005195923,0.0001293198,0.01289365,0.000004736889,0.000006656133,0.00001980352,0.0007199131,0.00430261,0.005469622,0.0002536533,0.001116504,0.9750316],"study_design_scores_gemma":[0.00105342,0.0004276073,0.7865648,0.00001950881,0.000009479419,0.000006786795,0.000521451,0.08522771,0.0001693282,0.001826829,0.1236897,0.0004834257],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861011,0.00002057354,0.0004266847,0.01007864,0.00004398274,0.0001102497,7.994583e-7,0.00001892739,0.003199044],"genre_scores_gemma":[0.9968558,0.0003875207,0.001362448,0.0008484744,0.0001903246,0.00002723527,0.000003238805,0.00002452636,0.0003004135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9745482,"threshold_uncertainty_score":0.5826465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250923135437228,"score_gpt":0.2569521952090205,"score_spread":0.2444429638546482,"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."}}