{"id":"W2032172318","doi":"10.1115/detc2009-87508","title":"PROMPT: A Small Walking Robot for Planetary Exploration","year":2009,"lang":"en","type":"article","venue":"Volume 3: ASME/IEEE 2009 International Conference on Mechatronic and Embedded Systems and Applications; 20th Reliability, Stress Analysis, and Failure Prevention Conference","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Michigan; Massachusetts Institute of Technology","keywords":"Planetary exploration; Terrain; Robot; Mobile robot; Space exploration; Computer science; Space (punctuation); Point (geometry); Planetary surface; Agency (philosophy); Artificial intelligence; Astrobiology; Human–computer interaction; Engineering; Geography; Aerospace engineering; Mars Exploration Program; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005050895,0.0003561788,0.0005029019,0.0002815633,0.0002476707,0.0004728123,0.0002642033,0.0002015944,0.00007901515],"category_scores_gemma":[0.00002047173,0.0003373827,0.0001280013,0.0002227194,0.00008022218,0.0003424845,0.00003193139,0.0002487443,0.000006282679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004609101,"about_ca_system_score_gemma":0.00005168534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001122016,"about_ca_topic_score_gemma":0.0003138204,"domain_scores_codex":[0.9978929,0.0000932195,0.0006765974,0.0007270726,0.000291503,0.0003186787],"domain_scores_gemma":[0.9988272,0.00006609155,0.000215317,0.0003676742,0.0003501505,0.0001735972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002345079,0.0006693311,0.005021997,0.001256746,0.001904606,0.000004166869,0.001628943,0.1765895,0.00423209,0.422944,0.0007102478,0.3848039],"study_design_scores_gemma":[0.0004652004,0.000225779,0.002083517,0.00023703,0.0003753185,0.00000845887,0.001155626,0.9739613,0.000273408,0.01840907,0.002274667,0.0005306139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02515856,0.0009872674,0.9708651,0.0006222629,0.0001687356,0.00128188,0.0002060921,0.0001357412,0.0005743808],"genre_scores_gemma":[0.9925577,0.002240557,0.003349185,0.0000272675,0.0001777303,0.0005033822,0.0004475177,0.00001639924,0.0006802569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9675159,"threshold_uncertainty_score":0.9999078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03223507359970897,"score_gpt":0.2722366729671794,"score_spread":0.2400015993674704,"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."}}