{"id":"W2022607927","doi":"10.1243/09544062jmes258","title":"Kinetostatic Design of an Innovative Schönflies-Motion Generator","year":2006,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"SCARA; Generator (circuit theory); Base (topology); Rotation (mathematics); Motion (physics); Rigid body; Robot; Displacement (psychology); Parallel manipulator; Computer science; Control theory (sociology); Mechanism (biology); Translation (biology); Engineering; Simulation; Mathematics; Physics; Artificial intelligence; Classical mechanics; Mathematical analysis; Control (management)","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":[0.002174926,0.0002845303,0.0006123827,0.0004667825,0.00007091964,0.00003211561,0.001011791,0.0001664067,0.00000885081],"category_scores_gemma":[0.001087406,0.0002240511,0.0001631623,0.001949403,0.0002041546,0.0007976923,0.00009918291,0.0004509657,6.403669e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001777531,"about_ca_system_score_gemma":0.0001829399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004649962,"about_ca_topic_score_gemma":2.45298e-7,"domain_scores_codex":[0.9968132,0.00001259062,0.001409397,0.000226995,0.001151035,0.0003867553],"domain_scores_gemma":[0.9976058,0.0000886491,0.0006107402,0.0002038467,0.001315174,0.0001758169],"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":[0.00001642257,0.00004987294,9.901511e-7,0.00009512952,0.00001751493,6.382643e-7,0.00002275297,0.4924118,0.3808275,0.1263515,0.00001069843,0.0001952459],"study_design_scores_gemma":[0.0003700101,0.0002579945,0.00002800321,0.00027102,0.00003781728,0.00004022791,0.00003218439,0.5563409,0.4408453,0.00161495,0.00001823784,0.0001433392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2137301,0.00006689355,0.7846962,0.00004026661,0.001127687,0.0002282812,0.000008809417,0.00004961053,0.0000521994],"genre_scores_gemma":[0.806455,0.00002376341,0.1933719,0.000007191257,0.00010969,0.000004280033,7.255565e-7,0.00002358759,0.000003920276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5927249,"threshold_uncertainty_score":0.913654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240372351570865,"score_gpt":0.212483037345388,"score_spread":0.2000793138296793,"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."}}