{"id":"W2102314651","doi":"10.5194/acp-13-3811-2013","title":"Montreal Protocol Benefits simulated with CCM SOCOL","year":2013,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Montreal Protocol; Ozone layer; Environmental science; Ozone; Ozone depletion; Stratosphere; Atmospheric sciences; Cloud cover; Atmosphere (unit); Bromine; Climatology; Meteorology; Chemistry; Geography; Cloud computing; Political science","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":[0.0005872997,0.000975785,0.000588418,0.0005571475,0.0006991446,0.001142593,0.001728794,0.001244003,0.01522068],"category_scores_gemma":[0.002343469,0.0004196241,0.0009715345,0.001296048,0.0004783479,0.0008012922,0.0005858134,0.001329621,0.001459812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002380992,"about_ca_system_score_gemma":0.00290199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.227341,"about_ca_topic_score_gemma":0.1715383,"domain_scores_codex":[0.999665,0.00009560452,0.00001398147,0.0000693191,0.00006739467,0.00008863028],"domain_scores_gemma":[0.9990242,0.000285917,0.00007865231,0.0001435021,0.0003365644,0.0001312832],"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":[0.0002500246,0.0001068637,0.009124912,0.0001081251,0.0000979413,0.0001600924,0.0000403999,0.964501,0.000893801,0.003109486,0.01739444,0.004212881],"study_design_scores_gemma":[0.0002865369,0.0000624438,0.007247159,0.00002261431,0.00005366057,0.00002246924,0.00007694355,0.9748345,0.001525993,0.001512155,0.01428987,0.00006554591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7050562,0.0004489632,0.02182007,0.002532025,0.0006684762,0.0004346963,0.1151719,0.00746802,0.1463996],"genre_scores_gemma":[0.9645493,0.0001189497,0.009076175,0.0002294702,0.00005020698,0.0002515331,0.02047739,0.0006081281,0.004638823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.227341,"threshold_uncertainty_score":0.4520354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005790317816103437,"score_gpt":0.192945264940372,"score_spread":0.1871549471242685,"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."}}