{"id":"W1822001265","doi":"10.1177/02783640122067570","title":"RHex: A Simple and Highly Mobile Hexapod Robot","year":2001,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":1313,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Defense Advanced Research Projects Agency","keywords":"Hexapod; Traverse; Computer science; Tree traversal; Robot; Terrain; Swing; Control theory (sociology); Simulation; Actuator; Mobile robot; Gait; Engineering; Artificial intelligence; Control (management)","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":[0.00009999084,0.0004108331,0.0002998152,0.0001128782,0.0001711387,0.0003158311,0.0005692692,0.0003897161,0.00312752],"category_scores_gemma":[0.0001071905,0.0002352775,0.0001612897,0.00007240228,0.000316968,0.0004406063,0.0005346763,0.0004176497,0.001424491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005126083,"about_ca_system_score_gemma":0.0001530474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001840897,"about_ca_topic_score_gemma":0.0002931956,"domain_scores_codex":[0.9999223,0.00000958888,0.000004884414,0.00002036279,0.00003336688,0.00000948981],"domain_scores_gemma":[0.9999411,0.000007515867,0.00001274278,0.00001156675,0.0000107644,0.00001634393],"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":[0.0004743815,0.0001562232,0.001899807,0.0007824231,0.00007363616,0.001477371,0.0002934851,0.03830646,0.6937934,0.011157,0.005779631,0.2458063],"study_design_scores_gemma":[0.00051742,0.005713788,0.01074558,0.0002220535,0.0001448649,0.00410235,0.0004090327,0.37423,0.314911,0.007531669,0.2812075,0.0002647395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1532452,0.0009607713,0.8159364,0.0002760292,0.0003560041,0.0005413319,0.0003122626,0.006201133,0.02217089],"genre_scores_gemma":[0.5825688,0.0006398672,0.3799597,0.0002710118,0.00006984726,0.000375896,0.0004531612,0.0001941024,0.03546755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00312752,"threshold_uncertainty_score":0.01046258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04142967553307336,"score_gpt":0.3385636401200082,"score_spread":0.2971339645869349,"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."}}