{"id":"W2496838318","doi":"10.1108/jqme-05-2012-0018","title":"Availability analysis of a LNG processing plant using the Markov process","year":2016,"lang":"en","type":"article","venue":"Journal of Quality in Maintenance Engineering","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Reliability engineering; Process (computing); Markov chain; Markov process; Interval (graph theory); Reliability (semiconductor); Markov model; State (computer science); Computer science; Engineering; Process state; Algorithm; Mathematics; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00264873,0.0001813554,0.0005995535,0.0003863042,0.00002849808,0.00002330454,0.0003085023,0.00008802028,0.00001582398],"category_scores_gemma":[0.0009888862,0.0001053777,0.0002160804,0.001191398,0.00008104286,0.0004384101,0.00002250002,0.0002658612,2.691256e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003096596,"about_ca_system_score_gemma":0.00006781889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000154471,"about_ca_topic_score_gemma":0.000028214,"domain_scores_codex":[0.997875,0.00007288039,0.001236489,0.0001439918,0.0003467109,0.0003248999],"domain_scores_gemma":[0.9986461,0.0003078264,0.0003880413,0.0002617516,0.0003339151,0.00006233501],"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":[0.00005325924,0.00003415074,0.006936889,0.0003637624,0.0001763662,0.00000490185,0.00083186,0.9780835,0.01110706,0.0002520084,0.00001293727,0.002143295],"study_design_scores_gemma":[0.0006876077,0.00003847747,0.037358,0.001311545,0.0002484535,0.00002947509,0.0008245582,0.9552934,0.003458337,0.0002841464,0.0001627885,0.0003032786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6983204,0.0002516374,0.3008523,0.0001899597,0.0001786353,0.0001125644,0.0000158449,0.00002864594,0.00004994537],"genre_scores_gemma":[0.9949416,0.0001539682,0.004805784,0.00001550839,0.00005039345,0.000004499092,8.191142e-7,0.00002005407,0.000007403285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2966211,"threshold_uncertainty_score":0.4297178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811508528341508,"score_gpt":0.2709274053394155,"score_spread":0.2528123200560004,"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."}}