{"id":"W2339991536","doi":"10.1007/s11081-012-9191-5","title":"Computing the lowest equilibrium pose of a cable-suspended rigid body","year":2012,"lang":"en","type":"article","venue":"Optimization and Engineering","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Rigid body; Robotics; Upper and lower bounds; Rigid body dynamics; Computer science; Towing; Robot; Euler's formula; Space (punctuation); MATLAB; Mathematical optimization; Mathematics; Mathematical analysis; Artificial intelligence; Classical mechanics; Physics; Structural engineering; Engineering","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":[0.0001242125,0.0001010728,0.0001122623,0.00004424838,0.00002934228,0.00002279042,0.00006004734,0.00004534084,0.00004526225],"category_scores_gemma":[0.00001644379,0.00008471434,0.00002237667,0.0001177636,0.000009568713,0.0001263569,0.00002935716,0.00007594873,0.000001656942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001501811,"about_ca_system_score_gemma":0.000004199164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005621334,"about_ca_topic_score_gemma":2.346639e-7,"domain_scores_codex":[0.9995046,0.000005205934,0.0001561765,0.00005989521,0.00007427031,0.0001998223],"domain_scores_gemma":[0.9997447,0.00003663445,0.00002114995,0.0001136753,0.00001725209,0.0000666408],"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":[8.315596e-7,0.000005929077,0.0001111883,0.00004825701,0.00001305131,2.633722e-7,0.0001435593,0.9948124,0.001397824,0.00331347,0.00003342101,0.0001197985],"study_design_scores_gemma":[0.0001223357,0.000007046977,0.0002897075,0.00002170246,0.00001163453,0.000009790937,0.00002868652,0.9989892,0.0003329379,0.000006636751,0.00008306253,0.00009730878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01436018,0.0002591649,0.9833295,0.00001838196,0.0004761188,0.00008271221,0.00000198065,0.0001410984,0.001330881],"genre_scores_gemma":[0.8622559,0.0000531486,0.1375079,0.00001085173,0.00009931594,0.000001963587,0.000009126436,0.00002839391,0.00003340494],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8478957,"threshold_uncertainty_score":0.345455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005450412846199315,"score_gpt":0.1806885343885595,"score_spread":0.1752381215423602,"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."}}