{"id":"W2056746452","doi":"10.1017/s026357479900209x","title":"Kinematic modelling and trajectory planning for a tele-laparoscopic manipulating system","year":2000,"lang":"en","type":"article","venue":"Robotica","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Kinematics; Inverse kinematics; Trajectory; Computer science; Rotation (mathematics); Constraint (computer-aided design); Manipulator (device); Simulation; Control theory (sociology); Artificial intelligence; Engineering; Robot; Mechanical engineering; Physics; Control (management)","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":[0.000236384,0.0005334815,0.000410101,0.0003087084,0.0004275937,0.0006527095,0.0005756502,0.0008683322,0.003265116],"category_scores_gemma":[0.0004777557,0.0004022697,0.0004467408,0.0002484714,0.0004794037,0.0006671326,0.0004063491,0.0006368509,0.0008336441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004637526,"about_ca_system_score_gemma":0.0007122586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00661263,"about_ca_topic_score_gemma":0.004755514,"domain_scores_codex":[0.9998347,0.00003981036,0.000009094705,0.00003432083,0.00006883587,0.00001326424],"domain_scores_gemma":[0.9998465,0.00004362809,0.00004467233,0.00001914499,0.00003760711,0.000008416414],"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":[0.00005306064,0.00001629327,0.0003078094,0.00007649262,0.00001149038,0.000142464,0.0001260098,0.952871,0.007270002,0.0115877,0.0003789024,0.02715879],"study_design_scores_gemma":[0.00001178197,0.00005125856,0.0002881899,0.00001824963,0.000009560276,0.0001100248,0.00003135618,0.9910452,0.001915502,0.002878672,0.003627952,0.00001233315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005663643,0.0000864301,0.9922549,0.00005549888,0.000009385554,0.00001475923,0.00003814037,0.0002001256,0.001677199],"genre_scores_gemma":[0.6770918,0.0009458024,0.3093622,0.00004325574,0.00003258952,0.0002395562,0.0004019158,0.00009815033,0.01178468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00661263,"threshold_uncertainty_score":0.01314825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0447886418073364,"score_gpt":0.2712713047192884,"score_spread":0.226482662911952,"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."}}