{"id":"W2138446616","doi":"10.1109/tro.2005.853494","title":"Analytical kinematics models and special geometries of a class of 4-DOF parallel mechanisms","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Robotics","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Kinematics; Inverse kinematics; Position (finance); Parametric statistics; Degrees of freedom (physics and chemistry); Control theory (sociology); Inverse problem; Keyhole; Inverse; Forward kinematics; Mechanism (biology); Computer science; Kinematics equations; Class (philosophy); Parametric model; Robot kinematics; Mathematics; Engineering; Mathematical analysis; Classical mechanics; Geometry; Artificial intelligence; Physics; Mechanical engineering; Robot; Control (management); Mobile robot","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":[0.0001051489,0.000183823,0.0003940005,0.0002533658,0.00004035324,0.00001362828,0.0001122146,0.0001453949,0.00006192047],"category_scores_gemma":[0.000004869857,0.0001835801,0.0001076277,0.0002881686,0.00007433689,0.0001137261,0.000001810698,0.0001889818,0.000004501492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000385655,"about_ca_system_score_gemma":0.00001981279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003249206,"about_ca_topic_score_gemma":0.00002490412,"domain_scores_codex":[0.9988835,0.00001167141,0.0004823481,0.0001409363,0.0002718212,0.000209712],"domain_scores_gemma":[0.9994151,0.0001061568,0.00006037046,0.0002495116,0.00006936227,0.00009948906],"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":[0.00001542282,0.0001029641,5.015644e-7,0.0001057921,0.00007250763,0.000001075146,0.0001200571,0.9025207,0.0004550797,0.09445286,0.0000232827,0.002129789],"study_design_scores_gemma":[0.0003937627,0.0001212621,0.000004370203,0.00004065548,0.0001238239,0.000007552331,0.00008414218,0.9820482,0.002968794,0.01404261,0.00000436183,0.0001604794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002571634,0.00002650643,0.9959937,0.00008962168,0.000291311,0.0001445455,0.00003584788,0.00006040489,0.0007864797],"genre_scores_gemma":[0.4228313,0.0002022436,0.5767243,0.00001913471,0.00006637219,0.000004013893,0.000001729423,0.0000329565,0.0001179461],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4202597,"threshold_uncertainty_score":0.7486179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957174155391344,"score_gpt":0.2250866345396174,"score_spread":0.205514892985704,"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."}}