{"id":"W2136553015","doi":"10.1051/0004-6361/201015159","title":"First results on Martian carbon monoxide from<i>Herschel</i>/HIFI observations","year":2010,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Centre National de la Recherche Scientifique; Eidgenössische Technische Hochschule Zürich; Centre National d’Etudes Spatiales; California Institute of Technology; National Aeronautics and Space Administration; Stockholms Universitet; Ministerstwo Edukacji i Nauki; Chalmers Tekniska Högskola; National Science Foundation","keywords":"Carbon monoxide; Martian; Atmosphere of Mars; Mixing ratio; Atmosphere (unit); Physics; Isotopologue; Atmospheric sciences; Astrophysics; Chemistry; Mars Exploration Program; Spectral line; Meteorology; Astrobiology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006754294,0.0002073705,0.0001683704,0.00003711149,0.0002884603,0.0001101693,0.000172108,0.00004104744,0.00003741398],"category_scores_gemma":[0.000004277302,0.0002018948,0.00005851678,0.0001292169,0.00008724366,0.0004095993,0.00004221818,0.0003330274,0.0001225436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006953305,"about_ca_system_score_gemma":0.00004014761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006640967,"about_ca_topic_score_gemma":0.00008732248,"domain_scores_codex":[0.9989246,0.00001840298,0.0002295509,0.0003844856,0.0001410643,0.0003018786],"domain_scores_gemma":[0.999284,0.00007237289,0.0001201918,0.0003428524,0.00003089451,0.0001496448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005182659,0.0009790761,0.3633957,0.00001224786,0.0003449316,0.000009269563,0.00256957,0.01321326,0.06238499,0.03095475,0.003372693,0.5222452],"study_design_scores_gemma":[0.005514392,0.001003152,0.4805691,0.0001408013,0.0002373863,0.00000145462,0.003869147,0.03039714,0.03607435,0.02335059,0.4166022,0.002240245],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885555,0.000003094151,0.008036191,0.0007005814,0.0002849544,0.0001388015,0.0002976451,0.0000364824,0.001946748],"genre_scores_gemma":[0.9755945,7.72468e-7,0.02234798,0.00005756426,0.0007660908,0.00001835557,0.001107657,0.00001290062,0.00009417172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.520005,"threshold_uncertainty_score":0.8233032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447556354282061,"score_gpt":0.1954451589062783,"score_spread":0.1809695953634577,"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."}}