{"id":"W4413213677","doi":"10.1016/j.jqsrt.2025.109603","title":"Atmospheric ethylene (C <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si82.svg\" display=\"inline\" id=\"d1e455\"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> </mml:math> H <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si110.svg\" display=\"inline\" id=\"d1e463\"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>4</mml:mn> </mml:mrow> </mml:msub> </mml:math> ) observations from the Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS)","year":2025,"lang":"lv","type":"article","venue":"Journal of Quantitative Spectroscopy and Radiative Transfer","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Canadian Space Agency; National Aeronautics and Space Administration","keywords":"Algorithm; Scalable Vector Graphics; Computer graphics (images); Combinatorics; Mathematics; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.003148255,0.002066742,0.001168731,0.0002103043,0.003246791,0.00216329,0.003111834,0.002794601,0.1450789],"category_scores_gemma":[0.0009952263,0.00281828,0.003259744,0.002402825,0.0032919,0.003518021,0.0007953301,0.003961642,0.001460682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007169059,"about_ca_system_score_gemma":0.00305233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003108423,"about_ca_topic_score_gemma":0.003302745,"domain_scores_codex":[0.9846501,0.0009652844,0.003895205,0.002815936,0.003813341,0.003860084],"domain_scores_gemma":[0.9887186,0.003652659,0.002967315,0.002415261,0.0004006892,0.001845537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007119153,0.001357386,0.0001890965,0.002006758,0.007318763,0.002525993,0.0132431,0.004959586,0.02183299,0.8652056,0.07115807,0.003083432],"study_design_scores_gemma":[0.00426393,0.004559706,0.001283921,0.002053707,0.003864625,0.0009805127,0.01043313,0.3858536,0.5752819,0.0002254361,0.008601049,0.002598434],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8740563,0.009670739,0.00661962,0.00304701,0.003477317,0.0001919036,0.001988164,0.0002498227,0.1006991],"genre_scores_gemma":[0.9591293,0.01296343,0.01763852,0.002910081,0.002760346,0.0007569981,0.002398325,0.0007596789,0.0006833641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8649802,"threshold_uncertainty_score":0.9994206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02097141647243862,"score_gpt":0.2587163452942733,"score_spread":0.2377449288218347,"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."}}