{"id":"W1610099142","doi":"","title":"HOPPING ROBOT FOR PLANETARY EXPLORATION","year":2005,"lang":"en","type":"article","venue":"International Symposium on Artificial Intelligence","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mars Exploration Program; Planetary exploration; Robot; Miniaturization; Aerospace engineering; Exploration of Mars; Computer science; Space exploration; Mechanism (biology); Electronics; Simulation; Systems engineering; Astrobiology; Engineering; Electrical engineering; Artificial intelligence; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001153072,0.0001368401,0.0001055137,0.00006796237,0.00006539707,0.00009189679,0.0002271025,0.00006025667,0.0002450804],"category_scores_gemma":[0.00002776529,0.0001434832,0.00007499105,0.00006632261,0.00002108347,0.0002826063,0.00001093164,0.000101494,0.0006621762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001114772,"about_ca_system_score_gemma":0.000007869035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006111018,"about_ca_topic_score_gemma":0.00004480088,"domain_scores_codex":[0.9990655,0.00001178467,0.0003465875,0.0001866315,0.0002075774,0.0001818842],"domain_scores_gemma":[0.9995981,0.00009558914,0.00003796793,0.0001272437,0.0000797476,0.00006136531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003905707,0.00004522028,0.000005709774,0.000004582701,0.00003057049,0.000001009738,0.0001718228,0.8434237,0.01096596,0.02302714,0.0006141738,0.121671],"study_design_scores_gemma":[0.00005843052,0.00005198998,0.00002054378,0.00002500235,0.000007150296,0.000003330609,0.00005966183,0.9157933,0.05482759,0.00331057,0.0256647,0.0001777227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002047888,0.00003820922,0.9745152,0.01023698,0.002214243,0.0003367499,0.00002183594,0.000320247,0.01026868],"genre_scores_gemma":[0.9941922,0.0000646615,0.003508165,0.0005622294,0.001166513,0.00009466752,0.00006869471,0.00002412891,0.0003187133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9921443,"threshold_uncertainty_score":0.8511156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04375292075047511,"score_gpt":0.2738865685896776,"score_spread":0.2301336478392025,"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."}}