{"id":"W2069362953","doi":"10.1016/j.asr.2005.08.041","title":"Using airglow measurements to observe gravity waves in the Martian atmosphere","year":2005,"lang":"en","type":"article","venue":"Advances in Space Research","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; York University; University of Toronto","funders":"","keywords":"Airglow; Martian; Atmosphere (unit); Atmosphere of Mars; Orbiter; Zenith; Gravity wave; Astrobiology; Gravitational wave; Physics; Remote sensing; Geology; Environmental science; Geophysics; Atmospheric sciences; Astronomy; Mars Exploration Program; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002087768,0.0003239194,0.0002261006,0.0006663269,0.0004580965,0.0005573677,0.0003424899,0.0005858009,0.0003491454],"category_scores_gemma":[0.0005108631,0.0002162138,0.0001951532,0.0005259183,0.0002183872,0.000513669,0.0003748846,0.0004022258,0.0001080137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002770619,"about_ca_system_score_gemma":0.0003082358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009972199,"about_ca_topic_score_gemma":0.01722947,"domain_scores_codex":[0.9998732,0.00001689392,0.000004582502,0.00004063678,0.00003808839,0.00002663561],"domain_scores_gemma":[0.9998317,0.00003725182,0.00003234026,0.00002119365,0.00004062811,0.00003687503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001011455,0.0002962904,0.4987444,0.0001163496,0.0003332531,0.0004289621,0.0009942206,0.005668681,0.4159268,0.0008148954,0.001040123,0.07462459],"study_design_scores_gemma":[0.000218191,0.00033075,0.8874612,0.00002466262,0.0002093665,0.0002992571,0.0003089464,0.0464553,0.06009747,0.0009937638,0.003537605,0.00006346875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956111,0.0002336195,0.001718863,0.00008963246,0.00002331131,0.00001560096,0.0003107144,0.00009378471,0.001903479],"genre_scores_gemma":[0.9971454,0.0001071848,0.00221392,0.00003787877,0.00002458562,0.000006765962,0.0002085432,0.0000143115,0.000241446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009972199,"threshold_uncertainty_score":0.01982826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07335177608044699,"score_gpt":0.3855754391061303,"score_spread":0.3122236630256834,"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."}}