{"id":"W2152007551","doi":"10.5194/acp-10-7697-2010","title":"Options to accelerate ozone recovery: ozone and climate benefits","year":2010,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; National Aeronautics and Space Administration","keywords":"Chlorofluorocarbon; Ozone; Radiative forcing; Ozone depletion; Montreal Protocol; Ozone layer; Atmospheric sciences; Environmental science; Forcing (mathematics); Climatology; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001404213,0.000636577,0.0003615588,0.0005526564,0.0004874815,0.001529716,0.0008154689,0.001266104,0.0107185],"category_scores_gemma":[0.001455305,0.0001767047,0.0009968536,0.0007533848,0.000548284,0.001095712,0.001100326,0.0008231441,0.0003424127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002035654,"about_ca_system_score_gemma":0.00276597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02182247,"about_ca_topic_score_gemma":0.04971378,"domain_scores_codex":[0.9992753,0.0002988202,0.00001275449,0.00003959187,0.0001810876,0.0001925024],"domain_scores_gemma":[0.9996892,0.0000982092,0.00005317183,0.00002448769,0.00007877315,0.00005615882],"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":[0.002858135,0.0006943957,0.01358587,0.001220655,0.0007633998,0.0006597157,0.0001129909,0.5460997,0.01094375,0.2373555,0.02398382,0.1617221],"study_design_scores_gemma":[0.002234508,0.005230035,0.09777521,0.0009627657,0.002187343,0.0004651264,0.002371168,0.3863567,0.02124824,0.2275624,0.253274,0.0003325453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.627251,0.01594403,0.0315597,0.03184837,0.0007587902,0.00053541,0.006208295,0.0004100939,0.2854843],"genre_scores_gemma":[0.9879962,0.001520382,0.002995825,0.000534145,0.00003978809,0.00005711797,0.0002350536,0.00001404242,0.006607439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02182247,"threshold_uncertainty_score":0.04339093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008753494416146028,"score_gpt":0.2062716740028258,"score_spread":0.1975181795866798,"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."}}