{"id":"W2128949244","doi":"10.24908/pceea.v0i0.4043","title":"TOWARDS LEGGED AMPHIBIOUS MOBILE ROBOTICS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Robotics; Bridging (networking); Mobile robot; Artificial intelligence; Robot; Computer science; Software; Focus (optics); Systems engineering; Engineering; Human–computer interaction; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002270486,0.0001628664,0.0001738683,0.0002167199,0.00009588849,0.00005860435,0.0003085211,0.0001590537,0.00007817375],"category_scores_gemma":[0.0002099357,0.0001628627,0.0001007688,0.0004000884,0.00001337861,0.0001771777,0.00001504946,0.0002086491,0.00002804677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504945,"about_ca_system_score_gemma":0.0002945857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002942787,"about_ca_topic_score_gemma":0.002197836,"domain_scores_codex":[0.9990217,0.000003817665,0.0002818208,0.0001321122,0.0002386353,0.0003219155],"domain_scores_gemma":[0.9991742,0.00001327025,0.0001292314,0.0001145877,0.0003523261,0.0002163958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001590374,0.0006622143,0.1310616,0.00183037,0.001522083,0.000001228808,0.02363958,0.3975319,0.01879546,0.1647667,0.2285509,0.03162212],"study_design_scores_gemma":[0.002368636,0.0001787407,0.6406614,0.00069234,0.0005930391,0.00003898481,0.00270257,0.1796939,0.03528292,0.002788974,0.1319922,0.003006372],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6523581,0.001320374,0.002299382,0.00610938,0.02422153,0.004265309,0.0001159059,0.002633823,0.3066761],"genre_scores_gemma":[0.99611,0.0000164633,0.002157681,0.0001373113,0.0001487243,0.00007894146,0.000003992856,0.00004574314,0.001301138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5095997,"threshold_uncertainty_score":0.6641349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006616253013178292,"score_gpt":0.1724139724373021,"score_spread":0.1657977194241238,"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."}}