{"id":"W2141237164","doi":"10.1175/jcli-d-13-00025.1","title":"On the Longwave Climate Feedbacks","year":2013,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Longwave; Environmental science; Climatology; Cloud forcing; Cloud feedback; Forcing (mathematics); Radiative forcing; Stratosphere; Greenhouse gas; Climate model; Climate change; Atmospheric sciences; Outgoing longwave radiation; Climate sensitivity; Global warming; Radiative transfer; Meteorology; Convection; Geography; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0005100478,0.0004151952,0.0002745664,0.0003398554,0.0002538159,0.0008628125,0.0003537803,0.0003515698,0.003854143],"category_scores_gemma":[0.00169747,0.0001597166,0.0003240433,0.0002821018,0.0004608698,0.001638011,0.0009667805,0.0006523448,0.0003157264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005249688,"about_ca_system_score_gemma":0.0002955905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003425451,"about_ca_topic_score_gemma":0.002615033,"domain_scores_codex":[0.9998347,0.00004837346,0.000008522071,0.00003056118,0.00005316779,0.00002468993],"domain_scores_gemma":[0.999505,0.0002436054,0.00005432058,0.00004139324,0.0001252187,0.00003042863],"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":[0.0006468096,0.0002148162,0.04096534,0.0009166762,0.000429879,0.0009247336,0.0008163432,0.3939646,0.0723457,0.2668469,0.01134286,0.2105853],"study_design_scores_gemma":[0.00009768378,0.0001768496,0.0737419,0.0002164106,0.0002079293,0.0002345862,0.0004808928,0.3984508,0.01077376,0.4783415,0.03718542,0.00009224458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7248358,0.01428808,0.1630951,0.01228439,0.00202593,0.0000614454,0.001090946,0.001098102,0.0812203],"genre_scores_gemma":[0.9892462,0.002383066,0.003814421,0.0004809561,0.0002846458,0.00001156031,0.0001059015,0.00006812911,0.003605061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003854143,"threshold_uncertainty_score":0.01289344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072857700267301,"score_gpt":0.2098760318624842,"score_spread":0.1991474548598111,"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."}}