{"id":"W2104976581","doi":"10.1109/icas.2009.17","title":"Gait Synthesis for Legged Underwater Vehicles","year":2009,"lang":"en","type":"article","venue":"","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Hexapod; Underwater; Gait; Computer science; Simulated annealing; Simulation; Marine engineering; Engineering; Robot; Artificial intelligence; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001185276,0.0002276175,0.0002365401,0.0002442435,0.000198834,0.0002283179,0.000256312,0.000208813,0.001498119],"category_scores_gemma":[0.0003296935,0.0001990037,0.0002422587,0.0001379548,0.0002223322,0.0001514348,0.0002511514,0.0002033066,0.0002362982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002316915,"about_ca_system_score_gemma":0.0003123537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00181548,"about_ca_topic_score_gemma":0.001867089,"domain_scores_codex":[0.9999392,0.00001155129,0.000004553503,0.00001385924,0.00002434396,0.000006480356],"domain_scores_gemma":[0.9999279,0.00002224499,0.00001410801,0.000009175463,0.00002040859,0.000006194495],"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":[0.00007166713,0.00004004359,0.0006448794,0.0001362349,0.00003123694,0.0001301832,0.0001744253,0.7937939,0.07203631,0.01397761,0.0007173313,0.1182461],"study_design_scores_gemma":[0.00001732859,0.00005740437,0.0002045273,0.0000104993,0.000006426658,0.00002620218,0.00001742555,0.9856269,0.007104513,0.004463499,0.002459384,0.00000592596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04602181,0.000106072,0.95018,0.00003887006,0.00002310122,0.00004553324,0.00006586902,0.0006348415,0.00288391],"genre_scores_gemma":[0.6953592,0.0001615363,0.3001434,0.00002597,0.000008046603,0.0001525124,0.0002083639,0.0001124525,0.003828583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00181548,"threshold_uncertainty_score":0.005011737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070707840808686,"score_gpt":0.2029658000868511,"score_spread":0.1922587216787643,"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."}}