{"id":"W4307662183","doi":"10.2118/211063-ms","title":"Automation Via Robotic Process Automation in Pipeline Integrity Management Towards ALARP Risk Level","year":2022,"lang":"en","type":"article","venue":"","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Integrity management; Pipeline (software); Engineering; Automation; Process (computing); Computer science; Reliability engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001188406,0.000948487,0.0005673184,0.001282583,0.0008213604,0.001979193,0.0011863,0.0009835927,0.005381742],"category_scores_gemma":[0.001599042,0.0004034052,0.0006948062,0.0007732493,0.0008574741,0.001322556,0.00176245,0.0007696027,0.002961167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006667195,"about_ca_system_score_gemma":0.001932286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005147346,"about_ca_topic_score_gemma":0.004397356,"domain_scores_codex":[0.9982749,0.0002155595,0.0001019149,0.0003757111,0.0008033179,0.0002286926],"domain_scores_gemma":[0.9983765,0.0001728132,0.0003093777,0.000468575,0.0005676965,0.0001050821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006216812,0.0003074512,0.009906874,0.0009932675,0.00007504892,0.001161405,0.0006343837,0.1259778,0.1631485,0.006159591,0.009182891,0.6818311],"study_design_scores_gemma":[0.0001152739,0.001982284,0.02232478,0.0003468363,0.0002138906,0.001763169,0.0008126377,0.5637054,0.2658533,0.01060801,0.1320136,0.0002607791],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09219713,0.001004637,0.8599187,0.000735515,0.0001867347,0.0006349682,0.0004318772,0.01399726,0.03089319],"genre_scores_gemma":[0.7846741,0.0005570673,0.2014656,0.0001495185,0.00003409048,0.0001914203,0.0004848833,0.0002431547,0.0122002],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005381742,"threshold_uncertainty_score":0.0180037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751171858269092,"score_gpt":0.2529369715403705,"score_spread":0.2354252529576796,"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."}}