{"id":"W2043823949","doi":"10.1016/j.icarus.2007.10.016","title":"Climate, weather, and north polar observations from the Mars Reconnaissance Orbiter Mars Color Imager","year":2007,"lang":"en","type":"article","venue":"Icarus","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Jet Propulsion Laboratory; Ministère de la Santé et des Services sociaux","keywords":"Orbiter; Mars Exploration Program; Polar; Astrobiology; Water vapor; Environmental science; Dust storm; Atmosphere of Mars; Polar orbit; Remote sensing; Atmospheric sciences; Geology; Storm; Astronomy; Meteorology; Physics; Martian; Satellite","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001494706,0.00007955207,0.00007602799,0.00001145429,0.0001986866,0.00007024051,0.0001175596,0.00001827092,0.0001223405],"category_scores_gemma":[0.000003974083,0.00005698023,0.00002550536,0.0001208901,0.00006554761,0.0003486591,0.00002542562,0.00008512301,0.0001501466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005437982,"about_ca_system_score_gemma":0.00001186355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004727052,"about_ca_topic_score_gemma":0.0003157121,"domain_scores_codex":[0.9994143,0.00001793152,0.0001278967,0.0001595105,0.00008434383,0.0001959866],"domain_scores_gemma":[0.9996033,0.0001076511,0.0000518445,0.0001650196,0.00002351793,0.00004870979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000147176,0.000017399,0.9866301,7.745847e-7,0.00001303603,0.000002137942,0.0003982912,0.00001251346,0.001387605,0.0006078104,0.003353303,0.007562241],"study_design_scores_gemma":[0.0001453131,0.00001604051,0.9713617,0.000007380223,0.00001334133,4.995487e-7,0.0004029143,0.000312639,0.0001680782,0.0009116303,0.02656445,0.0000960323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996711,0.0001097875,0.0004067702,0.0006825423,0.0001303478,0.0001119115,0.0002899996,0.00001568574,0.001541926],"genre_scores_gemma":[0.9974615,0.00001991614,0.001080358,0.0005513157,0.0001982921,0.000006385033,0.0005251089,0.000005738947,0.0001514048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02321115,"threshold_uncertainty_score":0.2323586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02901475840904229,"score_gpt":0.2272431835881322,"score_spread":0.1982284251790899,"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."}}