{"id":"W2140864145","doi":"10.1109/robot.1988.12025","title":"Cartesian trajectory planning for 3-DOF spherical wrists","year":2003,"lang":"en","type":"article","venue":"","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Unit sphere; Cartesian coordinate system; Unit vector; Kinematics; Mathematics; Trajectory; Stereographic projection; Projection (relational algebra); Mathematical analysis; Artificial intelligence; Computer science; Geometry; Algorithm; Physics; 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":[0.0003937807,0.0005281916,0.0004570636,0.0003405897,0.000401491,0.0006414232,0.0005417714,0.0004325901,0.002194073],"category_scores_gemma":[0.0009819546,0.0003234624,0.0004849924,0.0004602984,0.0007487208,0.0005848893,0.0008131795,0.00042163,0.0006116734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005269362,"about_ca_system_score_gemma":0.0008714105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005756517,"about_ca_topic_score_gemma":0.00502165,"domain_scores_codex":[0.9997709,0.00005189053,0.00001539663,0.00005285149,0.00008045413,0.00002851303],"domain_scores_gemma":[0.9997806,0.00007392405,0.00003909693,0.00003567486,0.00004738951,0.00002334217],"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":[0.0002230152,0.00002836712,0.0007107477,0.0001239678,0.00001545017,0.0002636313,0.000521369,0.8076621,0.01431432,0.05659195,0.001116871,0.1184282],"study_design_scores_gemma":[0.00001583512,0.00007515951,0.0002206379,0.00002184781,0.000006447851,0.00007993405,0.00007385109,0.974724,0.005885613,0.01473851,0.004143473,0.00001476387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01719301,0.0001274733,0.9798318,0.00002756945,0.00001356034,0.00002278532,0.00003734752,0.0004404086,0.002306039],"genre_scores_gemma":[0.6097081,0.0005951308,0.3841867,0.00001716952,0.00001754613,0.0001054796,0.0002622516,0.000153274,0.004954332],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005756517,"threshold_uncertainty_score":0.01144606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430119082889499,"score_gpt":0.2226241890117445,"score_spread":0.2083229981828495,"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."}}