{"id":"W4410299799","doi":"10.1115/1.4068645","title":"Kinematics of a Parallel Robot With Six Pairs of Offset Joints","year":2025,"lang":"en","type":"article","venue":"Journal of Mechanisms and Robotics","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Youth Innovation Promotion Association of the Chinese Academy of Sciences; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; National Natural Science Foundation of China","keywords":"Kinematics; Offset (computer science); Robot; Parallel manipulator; Computer science; Robot kinematics; Artificial intelligence; Engineering; Physics; Mobile robot; Classical mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004714871,0.0006803364,0.00049632,0.000465594,0.0004787025,0.0004118822,0.0008583998,0.0005535434,0.005690729],"category_scores_gemma":[0.0004064061,0.0003929212,0.0004316253,0.0002863562,0.0008529897,0.0005564213,0.001156921,0.0004754569,0.000873403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000178265,"about_ca_system_score_gemma":0.0005690188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005191049,"about_ca_topic_score_gemma":0.0003272743,"domain_scores_codex":[0.9995963,0.00007831492,0.00003185609,0.00008001506,0.0001834083,0.00003014018],"domain_scores_gemma":[0.9998364,0.00001763248,0.0000581369,0.00003332046,0.00003758834,0.00001690058],"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":[0.0006660416,0.0002323215,0.003082519,0.0005964672,0.00009013935,0.003108888,0.0004485211,0.6504878,0.1090207,0.1099816,0.002288997,0.1199959],"study_design_scores_gemma":[0.0002775972,0.002122312,0.003081343,0.00007075587,0.00006633411,0.00193784,0.0002916567,0.9262288,0.02641445,0.01803112,0.02137963,0.00009805135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1738364,0.000207421,0.8070681,0.0001677109,0.0002403539,0.0002222935,0.0001098954,0.0008780131,0.01726976],"genre_scores_gemma":[0.8797273,0.0001227246,0.1125415,0.00001870657,0.0000268729,0.0001201596,0.00006141122,0.00002963711,0.00735171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005690729,"threshold_uncertainty_score":0.01903737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006528580122804808,"score_gpt":0.200244018469586,"score_spread":0.1937154383467812,"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."}}