{"id":"W2593792587","doi":"","title":"Radio-localization of rovers on mars","year":2002,"lang":"en","type":"article","venue":"International Symposium on Antenna Technology and Applied Electromagnetics","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Mars Exploration Program; Exploration of Mars; Robotics; Space exploration; Cover (algebra); Artificial intelligence; Computer science; Astrobiology; Mars landing; Planetary exploration; Space (punctuation); Aeronautics; Remote sensing; Aerospace engineering; Robot; Engineering; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001957062,0.0002428848,0.0002059836,0.0005147743,0.0002881803,0.0003829769,0.0003459909,0.000392742,0.001843983],"category_scores_gemma":[0.0006166718,0.0001132691,0.00009706485,0.0003063643,0.0002838252,0.0003070438,0.0004253612,0.0002306808,0.0007997596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369744,"about_ca_system_score_gemma":0.00009827749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001455591,"about_ca_topic_score_gemma":0.002052367,"domain_scores_codex":[0.9998384,0.00006516292,0.000004406964,0.00003506436,0.00003342911,0.00002361044],"domain_scores_gemma":[0.999863,0.00003265603,0.00001529781,0.00002128352,0.00005640386,0.00001143627],"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":[0.001176954,0.0001420349,0.03681613,0.0004690973,0.000146674,0.00166145,0.0018041,0.1409911,0.2404158,0.0298388,0.01346936,0.5330685],"study_design_scores_gemma":[0.0001587859,0.001505391,0.08453852,0.0002345972,0.0001177854,0.003454486,0.001826912,0.6527316,0.09953283,0.02306546,0.1327139,0.0001197351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7309595,0.003838332,0.2396661,0.0005795012,0.0001645967,0.00006147293,0.0004258244,0.001085948,0.02321866],"genre_scores_gemma":[0.9673851,0.0004040854,0.02756326,0.00003747031,0.00003640145,0.00002077255,0.0003208931,0.00003216159,0.004199835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001843983,"threshold_uncertainty_score":0.006168783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005732008905924957,"score_gpt":0.1932587257832802,"score_spread":0.1875267168773553,"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."}}