{"id":"W1999957641","doi":"10.1115/detc2002/mech-34378","title":"Solving the Burmester Problem Using Kinematic Mapping","year":2002,"lang":"en","type":"article","venue":"","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Carleton University","funders":"","keywords":"Intersection (aeronautics); Kinematics; Revolute joint; Crank; Planar; Position (finance); Constraint (computer-aided design); Point (geometry); Quadratic equation; Mathematics; Geometry; Computer science; Engineering; Computer graphics (images); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008250273,0.00009184232,0.0000900702,0.00003118649,0.000072565,0.00006145463,0.0001007976,0.00003342117,0.0004993296],"category_scores_gemma":[0.00000550977,0.00005982768,0.000033946,0.000101477,0.00000860439,0.0000783553,0.00002545083,0.00008355945,0.00006986579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002398711,"about_ca_system_score_gemma":0.000001459756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007377959,"about_ca_topic_score_gemma":0.000003660577,"domain_scores_codex":[0.9994752,0.000007352452,0.0001565658,0.00007531327,0.00008985161,0.0001956813],"domain_scores_gemma":[0.9997402,0.00002884671,0.0000145932,0.0001756828,0.00001021038,0.00003041057],"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":[8.902906e-8,0.000006181805,0.00002388574,0.0001042695,0.00001859331,0.000003435025,0.0005699747,0.9836447,0.003326588,0.009280468,0.0005480724,0.002473807],"study_design_scores_gemma":[0.00005617653,0.000003088121,0.00001668553,0.00004290697,0.000007022531,0.00001903855,0.0001140675,0.9981335,0.00003067076,0.001318878,0.0001642969,0.00009368554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006267095,0.00009748094,0.9566565,0.000125641,0.0001657023,0.0001453599,2.008844e-7,0.0002167724,0.03632523],"genre_scores_gemma":[0.3278232,0.00002780134,0.6696397,0.0002198484,0.0001162933,0.00001069552,6.373251e-7,0.00004925673,0.002112631],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3215561,"threshold_uncertainty_score":0.5467309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03124577799448802,"score_gpt":0.1885661605904861,"score_spread":0.1573203825959981,"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."}}