{"id":"W4408782910","doi":"10.1177/09596518251324684","title":"A task-level approach for the position control of macro-mini robotic systems","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Macro; Task (project management); Computer science; Position (finance); Engineering; Systems engineering; Business; Programming language","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":[0.0009566317,0.0001912498,0.0006355566,0.0002008272,0.00006651314,0.00003825534,0.0002774181,0.000131735,4.517251e-7],"category_scores_gemma":[0.0002857179,0.0001294323,0.0002198924,0.0002583684,0.00004316069,0.0001850895,0.0000188552,0.0002702203,6.339405e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006588515,"about_ca_system_score_gemma":0.00003523113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008823613,"about_ca_topic_score_gemma":9.140425e-8,"domain_scores_codex":[0.998393,0.00001125837,0.001008808,0.0001036461,0.0002955636,0.0001877196],"domain_scores_gemma":[0.998743,0.0002021218,0.0004502996,0.00009450455,0.0004499206,0.00006016346],"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":[0.00006497143,0.00001924853,0.00003253693,0.001492342,0.0003793966,1.50832e-7,0.0000590199,0.9031092,0.04010991,0.05456487,0.00006091442,0.0001074424],"study_design_scores_gemma":[0.001855588,0.00008543508,0.0001650917,0.001074093,0.000312374,0.00004573941,0.0002948341,0.9937226,0.001943191,0.00001597981,0.0003769321,0.0001081449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005534176,0.003631169,0.9886485,0.0000981954,0.001305815,0.0006608617,0.000009449447,0.00003004225,0.00008183616],"genre_scores_gemma":[0.9989074,0.00007367709,0.0007835137,0.000007951497,0.0001490453,0.00003672934,6.799513e-7,0.00001818006,0.00002283211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9933732,"threshold_uncertainty_score":0.5278096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316615924546887,"score_gpt":0.2021188184090857,"score_spread":0.1889526591636169,"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."}}