{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002186032,0.000348744,0.0001970206,0.0003245961,0.0002223744,0.0005791876,0.0005735045,0.0005314572,0.002658313],"category_scores_gemma":[0.0003688204,0.0001478306,0.0002320934,0.0001923621,0.0008081406,0.0007669839,0.0009625899,0.0006744849,0.000805907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002544364,"about_ca_system_score_gemma":0.0002850085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000553444,"about_ca_topic_score_gemma":0.0009219715,"domain_scores_codex":[0.9998864,0.00002500796,0.0000046906,0.00002064193,0.00005135656,0.00001195174],"domain_scores_gemma":[0.9998528,0.00002968641,0.00002227584,0.00002145812,0.00004265561,0.00003105385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001220662,0.0001592455,0.003555677,0.001050706,0.00009741667,0.0008043486,0.001157771,0.06822663,0.2825794,0.2023779,0.005159691,0.434709],"study_design_scores_gemma":[0.00008991464,0.0020863,0.006763207,0.0004922858,0.00009894159,0.002715062,0.0007652916,0.2475443,0.05487905,0.178854,0.5056017,0.0001098875],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1771243,0.005271721,0.7753512,0.001564884,0.0002270207,0.0001249635,0.0001265577,0.001390973,0.03881843],"genre_scores_gemma":[0.3759487,0.006787658,0.5924978,0.0006517862,0.00009224754,0.0001304475,0.0003091994,0.0001376369,0.02344458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002658313,"threshold_uncertainty_score":0.008892953,"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."}}