{"id":"W2936743581","doi":"10.1038/s41586-019-1097-3","title":"Martian dust storm impact on atmospheric H2O and D/H observed by ExoMars Trace Gas Orbiter","year":2019,"lang":"en","type":"article","venue":"Nature","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":146,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Winnipeg","funders":"Science and Technology Facilities Council","keywords":"Atmosphere of Mars; Dust storm; Atmospheric sciences; Water vapor; Martian; Environmental science; Trace gas; Atmosphere (unit); Mars Exploration Program; Storm; Altitude (triangle); Astrobiology; Geology; Meteorology; Oceanography; Physics","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":[0.00006108105,0.0001134526,0.0001012927,0.000005740238,0.00005108413,0.00005788271,0.00008747765,0.0001627338,0.0004618888],"category_scores_gemma":[0.000001260144,0.00008251126,0.00003828334,0.0001076558,0.00001268633,0.0003246698,0.00001053197,0.0005249716,0.0003129277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001485679,"about_ca_system_score_gemma":0.00001846957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007193635,"about_ca_topic_score_gemma":0.000006602591,"domain_scores_codex":[0.999416,0.00001551561,0.00006852282,0.0001910061,0.0001346761,0.0001742583],"domain_scores_gemma":[0.9997139,0.00001827074,0.0000383727,0.0001427433,0.00001449255,0.00007222314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007296097,0.00007720484,0.9030172,0.000006810111,0.00004216882,0.000002063999,0.0003162771,0.0003470177,0.006615687,0.0002579119,0.07790504,0.01133966],"study_design_scores_gemma":[0.001123855,0.0005010733,0.8986798,0.00004227663,0.00002732994,0.000003884153,0.0005743013,0.009122671,0.001628693,0.0007225736,0.08704177,0.0005318054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977797,0.0002099301,0.00001281546,0.0004722652,0.0001461245,0.000124796,0.00005522904,0.00001406382,0.001185022],"genre_scores_gemma":[0.9979357,0.000003478283,0.00009408359,0.0002787879,0.00009532118,0.000002563637,0.000316731,0.000006689833,0.001266645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01080786,"threshold_uncertainty_score":0.5057358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007147686222832854,"score_gpt":0.2175280512327189,"score_spread":0.210380365009886,"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."}}