{"id":"W2521052416","doi":"10.1017/s0269888916000163","title":"Active balancing and turning for alpine skiing robots","year":2016,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Robot; Terrain; Brake; Simulation; Engineering; Inclined plane; Computer science; Control theory (sociology); Artificial intelligence; Control (management); Automotive engineering; Mechanical engineering; Geography","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":[0.0001932861,0.0003753289,0.0002632611,0.0004307556,0.0002811492,0.0005633176,0.0005744718,0.0004139664,0.001463357],"category_scores_gemma":[0.0003783721,0.0001761569,0.0002380012,0.0003204956,0.0004249194,0.00031636,0.0003646664,0.0002795292,0.0004659349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002001791,"about_ca_system_score_gemma":0.0002172196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002828496,"about_ca_topic_score_gemma":0.002098076,"domain_scores_codex":[0.9998584,0.00002528708,0.000008434803,0.00002724507,0.00005722417,0.00002333521],"domain_scores_gemma":[0.9998281,0.00004468148,0.00003903314,0.00001564359,0.00005682723,0.00001571925],"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":[0.0002194406,0.0001114253,0.002078173,0.001582659,0.0001021645,0.0004274423,0.000648167,0.1360002,0.1837294,0.009871154,0.003211742,0.6620181],"study_design_scores_gemma":[0.0001117755,0.00114974,0.01407455,0.0005426613,0.000167011,0.0009808436,0.000558935,0.7373621,0.07311463,0.01684308,0.1549885,0.0001062526],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1521694,0.02644071,0.7808583,0.0004791404,0.0002765557,0.0001634225,0.00008992441,0.002050763,0.03747174],"genre_scores_gemma":[0.9389718,0.008036966,0.04201517,0.0001037159,0.0001056905,0.0001236704,0.0001376375,0.00004439213,0.01046094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002828496,"threshold_uncertainty_score":0.005624056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007947524968199754,"score_gpt":0.2223972267174494,"score_spread":0.2144497017492497,"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."}}