{"id":"W4387008495","doi":"10.1016/j.icarus.2023.115793","title":"Producing 3D radargrams from orbital radar sounding data at Mars: History, results, methods, lessons and plans","year":2023,"lang":"en","type":"article","venue":"Icarus","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Geology; Orbiter; Mars Exploration Program; Radar; Exploration of Mars; Depth sounding; Remote sensing; Astrobiology; Computer science; Aerospace engineering; Engineering; Oceanography","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":[0.01881278,0.002217784,0.001240534,0.004115482,0.0006590921,0.006293632,0.004760998,0.002611623,0.007796444],"category_scores_gemma":[0.0199744,0.001088682,0.001489475,0.004321193,0.002334157,0.005811771,0.002354268,0.00217379,0.005847271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009000602,"about_ca_system_score_gemma":0.002434277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008244437,"about_ca_topic_score_gemma":0.005195974,"domain_scores_codex":[0.9953318,0.002000626,0.0003263641,0.0004998095,0.001555192,0.0002860824],"domain_scores_gemma":[0.977958,0.01018521,0.0008521546,0.003022807,0.007078711,0.0009030397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004999292,0.0004118497,0.0272289,0.002377297,0.0002575302,0.000273632,0.002017363,0.02005838,0.02724862,0.01015631,0.01043555,0.8990347],"study_design_scores_gemma":[0.0006008705,0.002693647,0.1281602,0.005534283,0.0007998326,0.003250962,0.01259962,0.2385101,0.1282036,0.1136215,0.3646712,0.00135423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08540031,0.04607981,0.8098879,0.0186913,0.001131115,0.001127874,0.007452808,0.007258902,0.02296997],"genre_scores_gemma":[0.11901,0.02120034,0.8433501,0.0006662548,0.001071085,0.0003163671,0.007995646,0.001300119,0.005090149],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01881278,"threshold_uncertainty_score":0.09949267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125565141263519,"score_gpt":0.3243362205687476,"score_spread":0.2117797064423956,"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."}}