{"id":"W4386475692","doi":"10.1016/j.robot.2023.104526","title":"A framework to integrate mobile manipulators as cyber–physical systems into existing production systems in the context of industry 4.0","year":2023,"lang":"en","type":"article","venue":"Robotics and Autonomous Systems","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Flexibility (engineering); Cyber-physical system; Context (archaeology); Production (economics); Industry 4.0; Production line; System integration; Systems engineering; Manufacturing engineering; Embedded system; Operating system; Engineering","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":[0.0005624414,0.0002517595,0.0004517092,0.0002444625,0.00008554722,0.0003055986,0.0002404904,0.0003244078,5.242604e-7],"category_scores_gemma":[0.00007187671,0.0002052852,0.00004952374,0.0008409298,0.0000482184,0.0002170297,0.00003555659,0.0006336854,0.00005815574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000166611,"about_ca_system_score_gemma":0.00003924098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000768157,"about_ca_topic_score_gemma":0.000009312874,"domain_scores_codex":[0.9983052,0.0000817072,0.0007114874,0.0002545356,0.0003076158,0.0003394486],"domain_scores_gemma":[0.9991745,0.0001813446,0.0001119019,0.0003473677,0.00008188111,0.0001029842],"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":[0.000002908978,0.00002601683,0.0005730626,0.0009383929,0.00003733563,0.000008468368,0.006482483,0.9493753,0.0001849632,0.04148441,0.0002929547,0.0005937293],"study_design_scores_gemma":[0.000359671,0.0002698433,0.0005926477,0.004874384,0.00005415519,0.0001835565,0.1415124,0.8427718,0.0004293263,0.0004141328,0.00770415,0.0008339121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890295,0.0004787885,0.001786192,0.00008574317,0.0034206,0.001687174,0.00002487901,0.0003834302,0.003103682],"genre_scores_gemma":[0.9989265,0.00001111093,0.0000328237,0.000007118095,0.0003695177,0.0003668193,0.00001440815,0.00004940179,0.0002222751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.13503,"threshold_uncertainty_score":0.8371286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103168224317424,"score_gpt":0.2710393047200523,"score_spread":0.240007622476878,"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."}}