{"id":"W4389492788","doi":"10.1016/j.procs.2023.10.333","title":"Robotic Process Automation (RPA) using a heuristic method and the effective resistance of a graph","year":2023,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Robotic Process Automation Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Robot; Heuristic; Automation; Bipartite graph; Graph; Integer programming; Mathematical optimization; Process (computing); Software; Artificial intelligence; Algorithm; Theoretical computer science; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008418218,0.001224118,0.0009851308,0.001612713,0.0006403179,0.00112071,0.001108097,0.001138121,0.002964672],"category_scores_gemma":[0.002164041,0.0005912841,0.001294528,0.001258135,0.00119331,0.001118816,0.0006675221,0.0008671081,0.0002923724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130624,"about_ca_system_score_gemma":0.001418504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003681096,"about_ca_topic_score_gemma":0.002468192,"domain_scores_codex":[0.9992879,0.0003988941,0.00002121906,0.0001116893,0.0001050374,0.00007530441],"domain_scores_gemma":[0.9986005,0.00105428,0.0001324743,0.00008846518,0.00008322781,0.00004105085],"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":[0.00003976127,0.00005518295,0.0001391502,0.0001060231,0.00003027788,0.00006670226,0.00003471955,0.9578106,0.002264235,0.01469987,0.0004265974,0.02432674],"study_design_scores_gemma":[0.00001825988,0.00008138882,0.00008596577,0.00001404121,0.00001485417,0.00004233508,0.00002139343,0.987684,0.0009257107,0.01020733,0.0008933699,0.00001135672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0266892,0.0001960908,0.966767,0.0001683928,0.00003994734,0.0001773014,0.00006315336,0.000271807,0.005627054],"genre_scores_gemma":[0.4288101,0.0004598714,0.5662682,0.0001061995,0.00004483079,0.0005037201,0.0001647866,0.0001153087,0.003527002],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003681096,"threshold_uncertainty_score":0.009917855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035238022947703,"score_gpt":0.2793350499916205,"score_spread":0.2689826697621435,"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."}}