{"id":"W3086111414","doi":"10.1007/978-3-030-58380-4_54","title":"Workspace Analysis and Torque Optimization on a Schönflies-Motion Generator","year":2020,"lang":"en","type":"book-chapter","venue":"Courses and lectures","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Workspace; Torque; Generator (circuit theory); Trajectory; Rotation (mathematics); Point (geometry); SMT placement equipment; Path (computing); Computer science; Motion (physics); Engineering; Control engineering; Control theory (sociology); Robot; Simulation; Mechanical engineering; Control (management); Mathematics; Artificial intelligence; Power (physics); Physics","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":[0.00002744038,0.0002384625,0.0003001228,0.0001427881,0.00006452551,0.00009607481,0.00004140991,0.0002352742,0.0001058003],"category_scores_gemma":[0.000009329955,0.0002142431,0.00006997719,0.00005226749,0.00002415031,0.00002687791,0.00001697852,0.0001989131,0.000002317989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002357538,"about_ca_system_score_gemma":0.000009292487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003839884,"about_ca_topic_score_gemma":0.0000264277,"domain_scores_codex":[0.9994273,0.000005670743,0.0001191984,0.0002377527,0.0001081558,0.0001019182],"domain_scores_gemma":[0.9996885,0.00002549556,0.00004092367,0.0001289708,0.00002376033,0.00009235965],"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":[0.000006624613,0.000001733827,0.000004794364,0.00003818668,0.0002975012,0.000005896675,0.00004803358,0.952051,0.0000121038,0.04192533,0.0004788181,0.005129932],"study_design_scores_gemma":[0.0001355475,0.00006758121,0.00004588805,0.00006643574,0.0007576962,0.000003983228,0.00001085592,0.992901,0.00002080134,0.002381678,0.003238343,0.0003702491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00005018595,0.003839565,0.979927,0.0002013037,0.0002198076,0.0001348792,0.00002545242,0.0001356589,0.01546616],"genre_scores_gemma":[0.1512029,0.05813439,0.6359239,0.004367357,0.005977619,0.00008863215,0.002185505,0.001255482,0.1408642],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3440031,"threshold_uncertainty_score":0.8736581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007104290126272793,"score_gpt":0.1885236251127354,"score_spread":0.1814193349864626,"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."}}