{"id":"W2481123737","doi":"10.1007/978-1-4899-7276-7_13","title":"Motion planning for underactuated systems","year":2005,"lang":"en","type":"book-chapter","venue":"Texts in applied mathematics","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Controllability; Kinematics; Reduction (mathematics); Motion (physics); Affine transformation; Mathematics; Computer science; Control theory (sociology); Control (management); Artificial intelligence; Pure mathematics; Applied mathematics; Geometry; Classical mechanics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003013662,0.0009381674,0.0007724734,0.0005082052,0.0005399002,0.001386983,0.0009058439,0.0006740065,0.008558067],"category_scores_gemma":[0.0007009195,0.0005912893,0.0005362478,0.001000932,0.001545329,0.001877432,0.0008549188,0.001742999,0.001564116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008458215,"about_ca_system_score_gemma":0.0009011861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002411879,"about_ca_topic_score_gemma":0.002762897,"domain_scores_codex":[0.9997754,0.00004283918,0.00001683893,0.00004855454,0.00009868127,0.00001778204],"domain_scores_gemma":[0.9998245,0.0001039454,0.00001069152,0.00003186221,0.0000213311,0.000007718086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002248933,0.00001299638,0.00005825151,0.0003189806,0.00001348287,0.00007237346,0.0002438257,0.04883224,0.002656646,0.8118843,0.007006623,0.1288778],"study_design_scores_gemma":[0.00001408067,0.00002321078,0.00009039194,0.00009672682,0.00001118207,0.00005560167,0.0000386806,0.0648283,0.001612431,0.8550665,0.07814854,0.00001436593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005103207,0.008565005,0.883228,0.0006930138,0.0003699958,0.00005953566,0.0002127166,0.000777312,0.1009912],"genre_scores_gemma":[0.2730824,0.0189397,0.5689867,0.0004539825,0.0005243417,0.0005465374,0.0009913592,0.0005411698,0.1359338],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008558067,"threshold_uncertainty_score":0.0286296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07329843599725733,"score_gpt":0.3139746991801105,"score_spread":0.2406762631828531,"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."}}