{"id":"W4322099695","doi":"10.5194/egusphere-egu23-17382","title":"The MAESTRO Spectrophotometer on Canada’s SCISAT satellite: Advances in data processing and improved data products","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Toronto; York University","funders":"","keywords":"Stratosphere; Troposphere; Satellite; Occultation; Aerosol; Environmental science; Meteorology; Remote sensing; Atmospheric sciences; Physics; Geography; Astronomy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001758531,0.001030263,0.0008096297,0.003633156,0.001309391,0.00210972,0.002118299,0.0007886242,0.01748266],"category_scores_gemma":[0.003219067,0.0005855531,0.0006202615,0.008839526,0.0004061799,0.002096873,0.001239684,0.001780257,0.01187428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004663655,"about_ca_system_score_gemma":0.009631741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6527135,"about_ca_topic_score_gemma":0.6651217,"domain_scores_codex":[0.9975767,0.000148135,0.00009238531,0.000307403,0.001706252,0.0001691306],"domain_scores_gemma":[0.9960099,0.0001473964,0.0001329269,0.0003954487,0.003154495,0.000159705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002499928,0.0001026368,0.01033768,0.0005218179,0.0001630317,0.0001361444,0.0002056659,0.01343367,0.009515625,0.007819263,0.6187243,0.3387901],"study_design_scores_gemma":[0.00007743018,0.00002558934,0.02078019,0.0001719975,0.00004288884,0.00006411124,0.0001417744,0.02936147,0.008485385,0.001807826,0.9389108,0.0001303853],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02974088,0.008717644,0.1535699,0.00322918,0.00121495,0.001188401,0.605599,0.04338199,0.1533581],"genre_scores_gemma":[0.05946271,0.004719056,0.2900805,0.0008717246,0.000349066,0.0005938645,0.5870212,0.00472986,0.05217206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3472865,"threshold_uncertainty_score":0.6986634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05489204174972993,"score_gpt":0.2727924880337598,"score_spread":0.2179004462840299,"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."}}