{"id":"W2316277635","doi":"10.1089/ast.2013.1062","title":"The MARS2013 Mars Analog Mission","year":2014,"lang":"en","type":"article","venue":"Astrobiology","topic":"Space Exploration and Technology","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library of Parliament; Department of National Defence","funders":"","keywords":"Mars Exploration Program; Exploration of Mars; Mission control center; Planetary surface; Crew; Martian; Robotics; Context (archaeology); Systems engineering; Aeronautics; Space exploration; Computer science; Field (mathematics); Simulation; Aerospace engineering; Engineering; Robot; Artificial intelligence; Astrobiology; Geology","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":[0.001175889,0.000578937,0.0002517598,0.0004499892,0.0008884066,0.0005013386,0.0006316978,0.000503179,0.002186778],"category_scores_gemma":[0.0009408084,0.0001082387,0.0002455253,0.0003548729,0.0004989174,0.0004632531,0.0006687712,0.0004027028,0.0004862867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005281893,"about_ca_system_score_gemma":0.0003479518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00375903,"about_ca_topic_score_gemma":0.007453207,"domain_scores_codex":[0.9995989,0.0001018704,0.00001285697,0.00006204318,0.0001479663,0.00007627359],"domain_scores_gemma":[0.9995371,0.00009993959,0.00005283082,0.00007927419,0.0001200962,0.0001107487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0123872,0.009401777,0.1450444,0.001255335,0.0006594549,0.004585765,0.003799496,0.1154109,0.2207499,0.004260133,0.08350363,0.398942],"study_design_scores_gemma":[0.001595649,0.04028777,0.4732009,0.0002118801,0.0002214011,0.00258811,0.003002842,0.06500769,0.1246129,0.003215966,0.2857515,0.0003035018],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796673,0.0002930444,0.004803177,0.0002241539,0.0001068448,0.0003698944,0.003081853,0.0004418336,0.01101188],"genre_scores_gemma":[0.9778491,0.0002010258,0.008739506,0.0001058235,0.00007129426,0.0001954806,0.008554194,0.0000951054,0.004188409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00375903,"threshold_uncertainty_score":0.007474303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003580484363281742,"score_gpt":0.175215283782561,"score_spread":0.1716347994192793,"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."}}