{"id":"W4321256879","doi":"10.1007/s11270-023-06138-6","title":"Current Status and Future Forecast of Short-lived Climate-Forced Ozone in Tehran, Iran, derived from Ground-Based and Satellite Observations","year":2023,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"University of Tehran; U.S. Department of Energy","keywords":"Environmental science; Ozone; Tropospheric ozone; Satellite; Air quality index; Inverse distance weighting; Ground Level Ozone; Ozone Monitoring Instrument; Meteorology; Atmospheric sciences; Troposphere; Climatology; Air pollution; Geography; Multivariate interpolation; Mathematics; Statistics; Chemistry","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":[0.0005273661,0.000338142,0.000256226,0.0006202624,0.0002110991,0.0005113478,0.0005103822,0.0003595924,0.0004457937],"category_scores_gemma":[0.000557154,0.0001357458,0.0004079671,0.0008843177,0.0001495817,0.0007046766,0.0002350063,0.0002949372,0.00011007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008549344,"about_ca_system_score_gemma":0.001224454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07291984,"about_ca_topic_score_gemma":0.06051705,"domain_scores_codex":[0.9998794,0.00001158586,0.00001692237,0.00003044931,0.00003757902,0.00002410019],"domain_scores_gemma":[0.9996427,0.00004597502,0.00008761555,0.00001532908,0.0001710604,0.00003735933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004506875,0.0001389465,0.8931553,0.0004916276,0.0004036024,0.0003315099,0.0003246928,0.03968859,0.005314561,0.0009020581,0.004952566,0.05384577],"study_design_scores_gemma":[0.00004402891,0.00007828713,0.9500783,0.0000514921,0.0001855034,0.00006883797,0.0005594011,0.042616,0.00122737,0.0003501002,0.004712596,0.00002811928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907795,0.001731091,0.00124733,0.0005471131,0.0001077266,0.00001073229,0.004112322,0.0001097856,0.001354489],"genre_scores_gemma":[0.9948201,0.0006901346,0.0005408331,0.00002467674,0.00003809538,0.000006316796,0.003591758,0.000003740369,0.0002844544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07291984,"threshold_uncertainty_score":0.1449908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05235504266744902,"score_gpt":0.2659964022290963,"score_spread":0.2136413595616473,"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."}}