{"id":"W3007080254","doi":"10.1038/s41561-020-0534-0","title":"The atmosphere of Mars as observed by InSight","year":2020,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":264,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Science and Technology Facilities Council; Canadian Space Agency; Jet Propulsion Laboratory; Instituto Nacional de Técnica Aeroespacial; Universität Stuttgart; National Aeronautics and Space Administration; Agence Nationale de la Recherche; United Kingdom Space Agency; Eidgenössische Technische Hochschule Zürich; Centre National d’Etudes Spatiales","keywords":"Atmosphere (unit); Mars Exploration Program; Astrobiology; Atmosphere of Mars; Geology; Environmental science; Earth science; Atmospheric sciences; Meteorology; Geography; Physics; Martian","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":[],"consensus_categories":[],"category_scores_codex":[0.00009622591,0.00006039223,0.00006306753,0.000001878843,0.0001792845,0.00004595017,0.0003849004,0.00003319339,0.00005198987],"category_scores_gemma":[0.00002511612,0.00003812475,0.00002763541,0.0003566709,0.0001081692,0.0002807743,0.00003542834,0.0001860877,0.0000909406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002843894,"about_ca_system_score_gemma":0.00005784542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008069961,"about_ca_topic_score_gemma":0.000006892064,"domain_scores_codex":[0.9993423,0.00001680834,0.00009538363,0.0001648261,0.0002346535,0.000146063],"domain_scores_gemma":[0.9996761,0.00004264753,0.00006250205,0.0001166847,0.00003526329,0.00006681597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001362839,0.000172053,0.5074104,0.00002683333,0.00005088679,0.000007048529,0.005172713,0.001106716,0.134503,0.09643465,0.1935577,0.06142173],"study_design_scores_gemma":[0.0004454984,0.0002940205,0.03722165,0.00002093332,0.0000161136,0.000001029039,0.001916735,0.02020999,0.01777823,0.006430398,0.9152756,0.0003898134],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867542,0.0006331688,0.0009092613,0.005939747,0.000264051,0.0001133835,0.0000416886,0.00001595222,0.005328489],"genre_scores_gemma":[0.9986066,0.000009317303,0.0001934756,0.0007333937,0.00005220697,0.000002029548,0.00004130857,0.000001825329,0.0003597936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7217179,"threshold_uncertainty_score":0.1554682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095748316853001,"score_gpt":0.2110602838691278,"score_spread":0.2001028007005978,"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."}}