{"id":"W2546605775","doi":"10.5194/amt-10-1495-2017","title":"Continuation of long-term global SO <sub>2</sub> pollution monitoring from OMI to OMPS","year":2017,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Earth Sciences Division; National Aeronautics and Space Administration","keywords":"Environmental science; Satellite; Ozone Monitoring Instrument; Meteorology; Context (archaeology); Pollution; Air pollution; Remote sensing; Ozone; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006118991,0.0002537412,0.0003478071,0.000002557571,0.0004499243,0.0002038575,0.0005356295,0.0001311159,0.0001688046],"category_scores_gemma":[0.0001658242,0.0002346808,0.0001090107,0.0001449502,0.0001139474,0.0004289807,0.00005201442,0.0001023201,0.00008715208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007255695,"about_ca_system_score_gemma":0.00009391572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005447845,"about_ca_topic_score_gemma":0.001764091,"domain_scores_codex":[0.9978574,0.00007357472,0.0004481878,0.0004100958,0.0008271956,0.0003835598],"domain_scores_gemma":[0.9983638,0.00001790423,0.0005651015,0.000658344,0.0002284011,0.0001664316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004942094,0.00002400879,0.6224852,0.00001196003,0.00003424835,0.000005603059,0.00005520744,0.00003209665,0.01706897,0.000006841067,0.000144789,0.3600817],"study_design_scores_gemma":[0.0001851822,0.0001743372,0.8404891,0.0001686631,0.00004756742,0.000001727163,0.00004162666,0.0001525732,0.1581095,0.0002508517,0.0001534603,0.0002254186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784701,0.0006321704,0.01719305,0.0001997486,0.0004606648,0.0005135866,0.00003901902,0.0002358116,0.00225578],"genre_scores_gemma":[0.9796081,0.0002397991,0.01975951,0.00008835307,0.0002502219,0.0000133347,0.00002075665,0.000008848033,0.0000111257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3598563,"threshold_uncertainty_score":0.9570007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02966639028953768,"score_gpt":0.2561466935991257,"score_spread":0.226480303309588,"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."}}