{"id":"W2112895954","doi":"10.1029/2005gl022386","title":"Atmospheric Chemistry Experiment (ACE): Mission overview","year":2005,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":1186,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba; Canadian Space Agency; York University; Université Laval; University of Saskatchewan; ABB (Canada); Environment and Climate Change Canada; Emka Technologies (Canada); University of Toronto; Western University; Trent University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; National Aeronautics and Space Administration","keywords":"Occultation; Satellite; Remote sensing; Spectral resolution; Atmosphere (unit); Atmospheric chemistry; Altitude (triangle); Spectrometer; Environmental science; Mixing ratio; Physics; Atmospheric pressure; Meteorology; Geology; Atmospheric sciences; Optics; Spectral line; Ozone; Astronomy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002375205,0.001181693,0.0005829008,0.00296021,0.0008471459,0.001321199,0.001044128,0.0008482282,0.003140209],"category_scores_gemma":[0.0008930762,0.0003462442,0.0004457554,0.004310812,0.0001512449,0.001579531,0.00106716,0.00076332,0.002642401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045635,"about_ca_system_score_gemma":0.003806253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04122039,"about_ca_topic_score_gemma":0.03301114,"domain_scores_codex":[0.999357,0.00007242732,0.00004117118,0.0001140198,0.0003176389,0.00009762989],"domain_scores_gemma":[0.9987476,0.00004772186,0.0001123779,0.0001342852,0.0007352028,0.0002227951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002304794,0.001045297,0.06064384,0.003836259,0.0006324689,0.0003161529,0.0002211508,0.01521643,0.03267819,0.004606945,0.4945591,0.3839394],"study_design_scores_gemma":[0.0004753431,0.0003239925,0.08040543,0.0001914468,0.0001990287,0.0002056758,0.0001048928,0.005621656,0.008593418,0.001257447,0.9025188,0.0001029459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0891213,0.06119934,0.04064102,0.005504851,0.001114112,0.0104194,0.644437,0.01319495,0.1343682],"genre_scores_gemma":[0.1238442,0.02415156,0.1302753,0.001545758,0.001521344,0.003728844,0.6993344,0.001221524,0.01437715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04122039,"threshold_uncertainty_score":0.08196092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03867308379238855,"score_gpt":0.3148502707801222,"score_spread":0.2761771869877337,"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."}}