{"id":"W2150474239","doi":"10.1109/robot.1987.1087926","title":"Computational scheme for simulating robot manipulators","year":2005,"lang":"en","type":"article","venue":"","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Jacobian matrix and determinant; Differential algebraic equation; Scheme (mathematics); Degrees of freedom (physics and chemistry); Topology (electrical circuits); Robot kinematics; Robot manipulator; Dimension (graph theory); Matrix (chemical analysis); Computer science; Algebraic number; Robot; Set (abstract data type); Differential (mechanical device); Control theory (sociology); Mathematics; Parallel manipulator; Applied mathematics; Differential equation; Mathematical analysis; Ordinary differential equation; Mobile robot; Artificial intelligence; Pure mathematics; Engineering; Physics","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":[0.0005925653,0.0004444897,0.0007841812,0.0004497727,0.0007108404,0.0008352721,0.001964157,0.001085484,0.007236165],"category_scores_gemma":[0.001582087,0.0003920029,0.0006541503,0.0004948435,0.0007389396,0.0007625453,0.001205965,0.0009981927,0.001076413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007143387,"about_ca_system_score_gemma":0.0009094952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002867516,"about_ca_topic_score_gemma":0.002206287,"domain_scores_codex":[0.9997336,0.00007112826,0.00001655635,0.00002473343,0.00013025,0.00002363559],"domain_scores_gemma":[0.9995909,0.0001437004,0.00003314593,0.00008685581,0.0001048711,0.00004058642],"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":[0.00005268072,0.00002879536,0.0003132358,0.00006402308,0.00001816934,0.00007447595,0.0000752653,0.9056022,0.00348831,0.08080412,0.0008396268,0.008638959],"study_design_scores_gemma":[0.00001968991,0.00001300578,0.00003096874,0.000005232404,0.000002957431,0.00001208075,0.000006468092,0.9913762,0.0004857632,0.005950427,0.00209268,0.000004554214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02669774,0.0001501726,0.9569724,0.0002005055,0.00009543401,0.0001977667,0.0002907384,0.0007613007,0.01463382],"genre_scores_gemma":[0.3676579,0.0002780901,0.6202894,0.0000823091,0.00003917522,0.001113844,0.0004362046,0.0002094479,0.009893599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007236165,"threshold_uncertainty_score":0.02420735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609100472263112,"score_gpt":0.2364960398333462,"score_spread":0.2204050351107151,"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."}}