{"id":"W2138962907","doi":"10.5897/jmer.9000041","title":"Reliability prediction of control valves through mechanistic models","year":2010,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Control valves; Process (computing); Component (thermodynamics); Reliability engineering; Valve actuator; Control system; Gate valve; Engineering; Nuclear power plant; Control (management); Chemical plant; Control engineering; Computer science; Control theory (sociology); Power (physics); Ball valve","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001696535,0.0006038265,0.000667988,0.001272316,0.0003185998,0.0008030426,0.001006791,0.001452836,0.001299367],"category_scores_gemma":[0.008324489,0.0007100239,0.00085344,0.0003946798,0.001027319,0.0009480994,0.0004037174,0.0009400983,0.0001836619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009481288,"about_ca_system_score_gemma":0.0007325564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004270154,"about_ca_topic_score_gemma":0.002348122,"domain_scores_codex":[0.9996361,0.000131887,0.00001637307,0.00006499546,0.00009839512,0.00005232657],"domain_scores_gemma":[0.9960123,0.002961572,0.0004993237,0.0001510006,0.0003092202,0.00006666113],"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":[0.000007807474,0.00001041517,0.0003705483,0.00001210705,0.000005512877,0.0000147202,0.00001608393,0.9932569,0.0002130345,0.004629644,0.00006852121,0.001394664],"study_design_scores_gemma":[0.000001135939,0.000004935757,0.0001398461,0.000001769965,0.000001682887,0.000004487184,0.000001692999,0.9974971,0.00005182912,0.002258142,0.00003509929,0.000002221521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3500212,0.0006573228,0.6418496,0.0004610628,0.00003720753,0.00006230643,0.0002308584,0.0002541476,0.006426179],"genre_scores_gemma":[0.9904472,0.0002520027,0.007933174,0.00001385067,0.00001778433,0.00004641352,0.0001025555,0.00001772938,0.001169279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004270154,"threshold_uncertainty_score":0.008972287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1433072355950803,"score_gpt":0.4058888584662181,"score_spread":0.2625816228711377,"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."}}