{"id":"W4396690610","doi":"10.15278/isms.2023.6836","title":"IN SITU AND REMOTE SENSING OF SULFATE AEROSOLS","year":2023,"lang":"en","type":"article","venue":"","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Remote sensing; Occultation; Stratosphere; Aerosol; Spectrometer; Atmosphere (unit); Environmental science; Radiance; Satellite; Sulfate; Mie scattering; Atmospheric sciences; Atmospheric composition; Earth's energy budget; Scattering; Materials science; Optics; Meteorology; Physics; Radiation; Light scattering; Geology; Astronomy","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":[0.0003209989,0.0003523835,0.000365227,0.0008710564,0.0003933293,0.000456481,0.0005212089,0.0007813102,0.0007350526],"category_scores_gemma":[0.0002260924,0.0002294087,0.0002406649,0.0009118232,0.0001315919,0.0005447203,0.0003445825,0.0003017696,0.0003416251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003402996,"about_ca_system_score_gemma":0.0002143825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003448858,"about_ca_topic_score_gemma":0.007715937,"domain_scores_codex":[0.9996792,0.00002314845,0.00001192887,0.000123078,0.0001344819,0.0000282316],"domain_scores_gemma":[0.9998566,0.00002881487,0.00002652028,0.0000206144,0.00005606515,0.00001136446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001409234,0.0002640314,0.02422312,0.0002865031,0.00006596612,0.0001105256,0.0001384906,0.003730621,0.9198845,0.0002104042,0.001170455,0.04977446],"study_design_scores_gemma":[0.000148155,0.000536872,0.2753963,0.00007790967,0.0003192971,0.0006550461,0.0004260295,0.09621637,0.5902457,0.001315771,0.03456399,0.00009837432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433683,0.002643345,0.03576066,0.0002503275,0.0002580394,0.0001195599,0.004763427,0.0009170924,0.01191923],"genre_scores_gemma":[0.9182923,0.001347998,0.07383447,0.0002446207,0.00021896,0.00009862807,0.003166422,0.00008108553,0.002715494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003448858,"threshold_uncertainty_score":0.006857514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700164134780238,"score_gpt":0.2289781686357203,"score_spread":0.211976527287918,"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."}}