{"id":"W2071084984","doi":"10.1115/imece2010-39934","title":"A Hybrid Approach to Force Balancing of Robotic Mechanisms","year":2010,"lang":"en","type":"article","venue":"","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; East China University of Science and Technology","keywords":"Kinematics; Computer science; Disadvantage; Work (physics); Software; Control theory (sociology); Control engineering; Engineering; Mechanical engineering; Artificial intelligence; Control (management); Classical mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001212265,0.0001146115,0.0001815658,0.00006878036,0.00002049078,0.00001471201,0.0001574295,0.00004840078,0.00006775739],"category_scores_gemma":[0.00001929524,0.0001035329,0.00004725541,0.00008965953,0.000006205426,0.00004886961,0.00003573899,0.000133056,0.00002870161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001117066,"about_ca_system_score_gemma":0.000008342397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000127933,"about_ca_topic_score_gemma":0.000008533246,"domain_scores_codex":[0.9993352,0.000003489608,0.0001817232,0.0001338355,0.0001290927,0.0002166096],"domain_scores_gemma":[0.9995534,0.0000177838,0.00001513146,0.000274376,0.00002520341,0.0001141503],"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":[9.232112e-7,0.0000128454,0.000002579383,0.00003861775,0.000008884416,7.30559e-7,0.00003723044,0.5466281,0.1238118,0.3287835,0.0001124082,0.0005622629],"study_design_scores_gemma":[0.0001039403,0.00002454106,0.00003288472,0.000006826519,0.000009163752,0.00001822432,0.00003595513,0.9636493,0.02183256,0.01412487,0.00001736959,0.00014434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01191623,0.000003241207,0.9536849,0.00001278797,0.0004771775,0.0001532233,0.000001610128,0.0001867466,0.03356403],"genre_scores_gemma":[0.4935091,6.838486e-7,0.5060019,0.00003660204,0.00002060555,0.000007501841,0.000002572378,0.00002010387,0.0004009405],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4815928,"threshold_uncertainty_score":0.422195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005589147944521658,"score_gpt":0.1819909748846684,"score_spread":0.1764018269401467,"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."}}