{"id":"W1995898002","doi":"10.5194/acp-12-5661-2012","title":"A multi-sensor upper tropospheric ozone product (MUTOP) based on TES ozone and GOES water vapor: validation with ozonesondes","year":2012,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Aeronautics and Space Administration","keywords":"Troposphere; Environmental science; Tropospheric ozone; Satellite; Ozone; Water vapor; Geostationary orbit; Geostationary Operational Environmental Satellite; Meteorology; Ozone layer; Mixing ratio; Atmospheric sciences; Remote sensing; Geography; Geology; Physics","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":[0.001093762,0.0005928162,0.0002571425,0.0006689407,0.0002272738,0.0004636445,0.0006155575,0.0003790677,0.0005063793],"category_scores_gemma":[0.001654683,0.000202539,0.000382565,0.0006971994,0.0001509135,0.000694152,0.0005027326,0.0003207267,0.0001851987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002886973,"about_ca_system_score_gemma":0.0003547839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01073016,"about_ca_topic_score_gemma":0.011535,"domain_scores_codex":[0.9995754,0.00009520601,0.00002903254,0.000106901,0.000166943,0.00002647901],"domain_scores_gemma":[0.9994127,0.0001088301,0.0001172229,0.0001220081,0.0002019204,0.00003739628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001521065,0.0009498885,0.5441557,0.0003751596,0.000891462,0.0003272942,0.0002652037,0.1876203,0.1326409,0.0009760733,0.006140081,0.1241369],"study_design_scores_gemma":[0.0002744704,0.0007092398,0.457567,0.00003984494,0.0001355538,0.0001416809,0.000175505,0.4647077,0.07163649,0.0003081189,0.004242509,0.00006198858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976203,0.0001189371,0.01419912,0.00004131453,0.00003259067,0.0001035171,0.006853265,0.000778861,0.001669475],"genre_scores_gemma":[0.9759328,0.0000447522,0.01689599,0.00002149678,0.000006977466,0.00006990352,0.0066495,0.00006815896,0.0003104176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01073016,"threshold_uncertainty_score":0.02133536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009328730703846908,"score_gpt":0.2007250193838353,"score_spread":0.1913962886799884,"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."}}