{"id":"W7100666172","doi":"","title":"Intelligent Mobility Algorithm Research &amp;amp; Development Creating Intelligent Algorithms for Robotic Locomotion in Complex Terrains","year":2005,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile robot; Terrain; Robot; Focus (optics); Intelligent control; Robotics; Intelligent transportation system; Intelligent decision support system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006970692,0.0006533082,0.0006036728,0.0009282385,0.000430218,0.0009273271,0.001082411,0.0009100491,0.004239016],"category_scores_gemma":[0.00188357,0.0004534792,0.0007086016,0.0008141831,0.0007038637,0.001646387,0.0008106221,0.001167951,0.002077344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005127073,"about_ca_system_score_gemma":0.0008138244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002435593,"about_ca_topic_score_gemma":0.002296226,"domain_scores_codex":[0.9997732,0.00004812717,0.00001659516,0.00004921715,0.00008634896,0.00002648667],"domain_scores_gemma":[0.9995957,0.0001483063,0.00002629261,0.00007185233,0.0001282462,0.00002955247],"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":[0.00006530609,0.00006489793,0.001057056,0.0001856983,0.00007924413,0.00008371644,0.0001994964,0.3544521,0.007057724,0.1083933,0.01718329,0.5111783],"study_design_scores_gemma":[0.0000288275,0.00004189771,0.0002172921,0.00004174802,0.00001472471,0.00008831904,0.00003668724,0.941668,0.003217678,0.02149021,0.03314089,0.00001386775],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005949514,0.001198908,0.9865772,0.0004176127,0.0001456879,0.00005183805,0.00004084133,0.0006010077,0.005017397],"genre_scores_gemma":[0.06400084,0.001547289,0.9261329,0.00009503802,0.00007383013,0.0001650242,0.0002598692,0.0002507331,0.007474532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004239016,"threshold_uncertainty_score":0.01418096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2439783968056342,"score_gpt":0.4092463849584033,"score_spread":0.1652679881527691,"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."}}