{"id":"W2274906167","doi":"10.48550/arxiv.1602.07340","title":"A Reconfigurable USAR Robot Designed for Traversing Complex 3D Terrain","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Traverse; Robot; Terrain; Computer science; Urban search and rescue; Robotics; Artificial intelligence; Cricket; Climb; Simulation; Robustness (evolution); Engineering; Mobile robot; Aerospace engineering; Geography","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":[0.00007354742,0.0004358842,0.0002894654,0.0002494061,0.0003082287,0.0002585642,0.0005452387,0.0005080993,0.002657717],"category_scores_gemma":[0.0001436322,0.0001726567,0.0002490268,0.0001607253,0.0002784528,0.0002035154,0.0003729439,0.0003919999,0.001162664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001213496,"about_ca_system_score_gemma":0.0003123596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007083319,"about_ca_topic_score_gemma":0.001030782,"domain_scores_codex":[0.9999287,0.000007270366,0.000003076966,0.00001927882,0.00002952104,0.00001208534],"domain_scores_gemma":[0.9999416,0.000006545838,0.00001234075,0.00001188318,0.00001449992,0.00001307307],"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":[0.0002684155,0.0001263151,0.001710562,0.0005298833,0.00004159388,0.001823174,0.0002641075,0.0744952,0.5065697,0.01264525,0.0103243,0.3912014],"study_design_scores_gemma":[0.0002642201,0.003147271,0.01008848,0.0001960631,0.0001276082,0.01018343,0.0002592758,0.4965724,0.2322196,0.004276302,0.2424354,0.0002298428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1409778,0.0006019222,0.8090544,0.0003038023,0.0004758952,0.0005140573,0.0003785751,0.006370174,0.04132351],"genre_scores_gemma":[0.4725391,0.0003542369,0.4923199,0.0002543191,0.00004529558,0.0003955714,0.0004459085,0.0002081388,0.03343753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002657717,"threshold_uncertainty_score":0.008890927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.124464531134923,"score_gpt":0.1952422317413476,"score_spread":0.07077770060642452,"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."}}