{"id":"W2806842645","doi":"10.1126/science.aaq0131","title":"Background levels of methane in Mars’ atmosphere show strong seasonal variations","year":2018,"lang":"en","type":"article","venue":"Science","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":322,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canadian Space Agency; Jet Propulsion Laboratory; Planetary Science Division; National Aeronautics and Space Administration; California Institute of Technology; Universidad Nacional Autónoma de México; Ministerio de Economía y Competitividad; Consejo Nacional de Ciencia y Tecnología","keywords":"Mars Exploration Program; Methane; Martian; Atmosphere of Mars; Astrobiology; Atmosphere (unit); Atmospheric methane; Environmental science; Sedimentary rock; Atmospheric sciences; Earth science; Geology; Chemistry; Geochemistry; Geography; Meteorology; Physics","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":[0.0004591372,0.00005212776,0.00007050254,0.00002120076,0.00008733879,0.00003862014,0.0002602628,0.00001060032,0.0006367215],"category_scores_gemma":[0.00000846711,0.00004695363,0.00001563205,0.0007091163,0.0003588678,0.0008716807,0.00003735226,0.00004695083,0.0001297351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001693154,"about_ca_system_score_gemma":0.0002478396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001652219,"about_ca_topic_score_gemma":0.0001056143,"domain_scores_codex":[0.9992282,0.00001684744,0.0001147822,0.0001833511,0.0002558769,0.0002009551],"domain_scores_gemma":[0.999658,0.00002599614,0.00005308065,0.000135129,0.00007705572,0.00005067545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001949681,0.0001891597,0.6855954,0.000007537724,0.00001458628,0.000001378953,0.002561702,0.002537903,0.1017715,0.1604107,0.0002941144,0.04659646],"study_design_scores_gemma":[0.0003172866,0.0001216195,0.9138886,0.0000274369,0.000006743057,8.161324e-7,0.001590769,0.05720503,0.01136054,0.01454902,0.0007368606,0.0001953361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797642,0.000006635897,0.01339116,0.0001115786,0.0001663295,0.00006072347,0.00003991386,0.000004902799,0.006454504],"genre_scores_gemma":[0.9960671,1.973685e-7,0.003648852,0.00001903373,0.00009239883,0.000002294649,0.00001199293,0.000001480863,0.0001566607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2282931,"threshold_uncertainty_score":0.6971654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04373966282797943,"score_gpt":0.2861478606537423,"score_spread":0.2424081978257628,"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."}}