{"id":"W1969604125","doi":"10.2118/173397-ms","title":"The Implementation and Automation of Effective Key Performance Indicators to manage Process Safety and Asset Integrity Risk; a ScottishPower Case Study","year":2015,"lang":"en","type":"article","venue":"SPE Digital Energy Conference and Exhibition","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Key (lock); Automation; Risk analysis (engineering); Asset (computer security); Process (computing); Computer science; Asset management; Process safety; Risk management; Process management; Reliability engineering; Computer security; Business; Engineering; Work in process; Operations management; Finance","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":[0.0102282,0.0004194171,0.0002477622,0.001140047,0.003926559,0.002712287,0.001874093,0.001516945,0.002544153],"category_scores_gemma":[0.01727013,0.000292184,0.0004567265,0.001086026,0.002516587,0.00163597,0.002206282,0.001214687,0.0002752999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006863098,"about_ca_system_score_gemma":0.01110828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1230974,"about_ca_topic_score_gemma":0.2283978,"domain_scores_codex":[0.9945254,0.002640402,0.0001868298,0.0002773819,0.001360489,0.001009508],"domain_scores_gemma":[0.9872048,0.006477871,0.001340571,0.001644399,0.002333386,0.0009989125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003387839,0.01190316,0.3768628,0.0006472234,0.0002001962,0.0303259,0.08339614,0.04881454,0.02384117,0.0419343,0.01117633,0.3675104],"study_design_scores_gemma":[0.001434007,0.0164866,0.5465912,0.0005653054,0.0004433783,0.006753813,0.1415812,0.1281351,0.03296471,0.01432387,0.1101809,0.0005399118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841051,0.00005214304,0.003774511,0.0005633522,0.000009232003,0.0002189168,0.00007269439,0.00005512626,0.01114883],"genre_scores_gemma":[0.9940049,0.00003576012,0.003974491,0.00005837849,0.000002208569,0.00004636512,0.00003077792,0.00001028969,0.001836743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1230974,"threshold_uncertainty_score":0.2447617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02950189086598363,"score_gpt":0.3461836587484148,"score_spread":0.3166817678824311,"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."}}