{"id":"W2032888992","doi":"10.1016/j.engappai.2004.03.010","title":"Development and implementation of a real-time open-architecture control system for industrial robot systems","year":2004,"lang":"en","type":"article","venue":"Engineering Applications of Artificial Intelligence","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Real-time Control System; Robot; Task (project management); Intelligent control; Real-time computing; Context (archaeology); Embedded system; Artificial intelligence; Control (management); Systems 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001064912,0.0005449028,0.0005222741,0.0004671652,0.0004868398,0.001142891,0.001979032,0.000813011,0.004280013],"category_scores_gemma":[0.00161744,0.0004109952,0.0003314685,0.0001987178,0.0004881351,0.000783484,0.0007067329,0.001210907,0.001262361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004753889,"about_ca_system_score_gemma":0.001512683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003452155,"about_ca_topic_score_gemma":0.002747803,"domain_scores_codex":[0.9992632,0.00007730341,0.00005252245,0.000139842,0.0003712723,0.00009584064],"domain_scores_gemma":[0.9992326,0.0001319488,0.00005972792,0.0001464693,0.000354804,0.00007444398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006272315,0.000883305,0.002451237,0.0004791777,0.0001528142,0.0006754107,0.001010434,0.1136508,0.2412202,0.02623821,0.009130113,0.603481],"study_design_scores_gemma":[0.0003055074,0.0009344015,0.002408973,0.00006794243,0.0001066791,0.0003897372,0.00008026821,0.7456456,0.2029199,0.003738014,0.04331543,0.00008756707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03417528,0.0001537044,0.9409574,0.0001340955,0.0001688256,0.0004217474,0.00005515662,0.01851196,0.00542178],"genre_scores_gemma":[0.4993579,0.000164131,0.4880193,0.0001693437,0.00006163988,0.0004421356,0.0003173496,0.0005989446,0.01086933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004280013,"threshold_uncertainty_score":0.01431805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02520268956074173,"score_gpt":0.2712659777958128,"score_spread":0.2460632882350711,"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."}}