{"id":"W2042500338","doi":"10.1109/coase.2013.6653921","title":"Analysis and development of self-reconfigurable open kinematic machinery systems","year":2013,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Kinematics; SCARA; Control theory (sociology); Control engineering; Computer science; Control system; Offset (computer science); Robot kinematics; Lyapunov function; Joint (building); Nonlinear system; Robot; Engineering; Mobile robot; Control (management); Artificial intelligence","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":[0.0001798911,0.0003782668,0.0004274943,0.000516836,0.0002770184,0.0006539884,0.0005597747,0.0005013114,0.001471801],"category_scores_gemma":[0.0005300746,0.0002170993,0.0005148099,0.0001968809,0.0007300002,0.0006980581,0.0007152893,0.0004054427,0.0002840176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004553817,"about_ca_system_score_gemma":0.0004633779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002088795,"about_ca_topic_score_gemma":0.001253629,"domain_scores_codex":[0.999806,0.00003194483,0.000007096337,0.00004156292,0.0000919538,0.00002135527],"domain_scores_gemma":[0.9998131,0.00004183211,0.00007148422,0.00002223047,0.00003740527,0.00001387978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002936707,0.00002776751,0.0009680894,0.0001077166,0.00003348165,0.0003022602,0.0002189504,0.8222364,0.01535137,0.1376508,0.0004220025,0.02265191],"study_design_scores_gemma":[0.000003692603,0.00003420606,0.0002864735,0.000006447511,0.000004534431,0.00003908542,0.00001858626,0.9877082,0.0009403027,0.009543178,0.001408713,0.00000654292],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06689721,0.0003838243,0.921414,0.00008014426,0.00002570092,0.00004319584,0.0000485375,0.0001852907,0.0109221],"genre_scores_gemma":[0.9511742,0.0003843862,0.04198064,0.00002270951,0.00002005662,0.00009845322,0.00008049815,0.00003773639,0.006201366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002088795,"threshold_uncertainty_score":0.004923642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650735890469693,"score_gpt":0.2223422825021603,"score_spread":0.2058349235974634,"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."}}