{"id":"W2034109168","doi":"10.1364/ao.44.004785","title":"Monte Carlo approach to identification of the composition of stratospheric aerosols from infrared solar occultation measurements","year":2005,"lang":"en","type":"article","venue":"Applied Optics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Occultation; Remote sensing; Environmental science; Monte Carlo method; Aerosol; Satellite; Stratosphere; Spectrometer; Atmospheric sciences; Meteorology; Optics; Physics; 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":[0.0009751567,0.0003673888,0.0004121684,0.0007776086,0.000503206,0.0005874321,0.0008426464,0.0005304289,0.001568414],"category_scores_gemma":[0.00423872,0.0004176451,0.0003836453,0.0004807335,0.0005681842,0.0005832345,0.0003736973,0.0005092662,0.0002920122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008200692,"about_ca_system_score_gemma":0.001014813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008320302,"about_ca_topic_score_gemma":0.009907199,"domain_scores_codex":[0.9996806,0.0001537333,0.000013222,0.00003830868,0.00008816354,0.0000259386],"domain_scores_gemma":[0.9981254,0.001441106,0.0001416734,0.00008886072,0.0001662226,0.0000367028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009509789,0.00004463452,0.002834975,0.00005830006,0.0000845952,0.00007422239,0.00004939767,0.9425532,0.002815358,0.02942401,0.0003792831,0.02158695],"study_design_scores_gemma":[0.000006028636,0.000007189054,0.0001974806,0.000003322922,0.000005343654,0.0000192697,0.000002755677,0.994355,0.0006120171,0.004463362,0.0003228627,0.000005482659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02636183,0.0003033709,0.970683,0.0001313847,0.00002435297,0.00004652127,0.00006646397,0.0003288639,0.002054253],"genre_scores_gemma":[0.574536,0.0004883951,0.4202536,0.0001271412,0.00009452317,0.0003729946,0.0002259371,0.0001391756,0.003762227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008320302,"threshold_uncertainty_score":0.01654375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094591487616957,"score_gpt":0.2108165766214701,"score_spread":0.1898706617453006,"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."}}