{"id":"W2072461806","doi":"10.5539/mas.v9n5p25","title":"The FMEA-Risk Analysis of Oil and Gas Process Facilities with Hazard Assessment Based on Fuzzy Logic","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oil refinery; Failure mode and effects analysis; Reliability (semiconductor); Risk analysis (engineering); Computer science; Fuzzy logic; Reliability engineering; Process (computing); Risk assessment; Hazard; Quantitative analysis (chemistry); Hazard analysis; Petroleum industry; Mode (computer interface); Environmental science; Engineering; Business; Power (physics); Waste management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00808018,0.0001833855,0.0004650985,0.0006441082,0.0007767826,0.0004920732,0.00131599,0.00004277266,0.00001934663],"category_scores_gemma":[0.0007741208,0.00008935881,0.0001011397,0.004919282,0.001830144,0.0001958316,0.0001230462,0.0001630796,0.00001155956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006742933,"about_ca_system_score_gemma":0.0006469508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007729629,"about_ca_topic_score_gemma":0.0004551237,"domain_scores_codex":[0.994217,0.0001225148,0.0004950868,0.0008163072,0.003978433,0.0003706072],"domain_scores_gemma":[0.9968554,0.0008421413,0.0004002224,0.001015904,0.0006009082,0.0002854165],"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":[0.0003347596,0.0001346682,0.02957982,0.000006920343,0.0001494563,0.000002827692,0.004654997,0.6675507,0.0007975337,0.007439824,0.00006636587,0.2892821],"study_design_scores_gemma":[0.0002892196,0.0001106218,0.008707482,0.000003760067,0.000187019,3.952772e-7,0.005374635,0.908124,0.0002428078,0.07656252,0.0002458575,0.0001517313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.707705,0.0001297006,0.1992597,0.002650996,0.00005484539,0.000146681,0.00006006033,0.00004640266,0.0899466],"genre_scores_gemma":[0.9973025,0.00005546542,0.001833479,0.0001156657,0.00000746058,0.00002837298,0.000001572637,0.000004267628,0.0006512247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2895975,"threshold_uncertainty_score":0.6743243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0676440914239413,"score_gpt":0.3524053067681229,"score_spread":0.2847612153441816,"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."}}