{"id":"W2183140448","doi":"","title":"MECHANICAL DESIGN OF A HOPPER ROBOT FOR PLANETARY EXPLORATION","year":2006,"lang":"en","type":"article","venue":"","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Miniaturization; Mars Exploration Program; Robot; Aerospace engineering; Mechanism (biology); Spacecraft; Satellite; Exploration of Mars; Computer science; Planetary exploration; Space exploration; Engineering; Simulation; Systems engineering; Electrical engineering; Astrobiology; Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001981629,0.0004598561,0.0003164064,0.0003800122,0.0004954318,0.0003700689,0.0006315365,0.000644616,0.004846051],"category_scores_gemma":[0.0002537503,0.0002860653,0.0002316254,0.0001741238,0.000344773,0.0003369795,0.0003015438,0.0003308245,0.001287973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000211119,"about_ca_system_score_gemma":0.0006689136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005774868,"about_ca_topic_score_gemma":0.000662139,"domain_scores_codex":[0.9998634,0.00001976512,0.000005943445,0.00003037406,0.00006480349,0.00001560996],"domain_scores_gemma":[0.9998955,0.00002137556,0.00001519919,0.00001152851,0.00003897116,0.00001741311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003417323,0.0001588705,0.001617702,0.001062637,0.00009641032,0.001120762,0.0004648936,0.1484796,0.487498,0.03532493,0.006682289,0.3171521],"study_design_scores_gemma":[0.0004250492,0.00312744,0.006146484,0.0001840052,0.0001706935,0.002921744,0.0003666142,0.6764346,0.1076444,0.01433241,0.1880745,0.0001720444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05342748,0.0007229392,0.9206275,0.0003788575,0.000206669,0.0005072997,0.0001389234,0.002123248,0.02186704],"genre_scores_gemma":[0.5662562,0.000586529,0.4160197,0.0001482879,0.00006487714,0.0006518515,0.0001661918,0.00009917898,0.0160072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004846051,"threshold_uncertainty_score":0.01621169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02368840266620125,"score_gpt":0.1971420152967724,"score_spread":0.1734536126305711,"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."}}