{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01322874,0.0001361417,0.0004391345,0.000242431,0.0001495375,0.00008873208,0.000986566,0.0002247223,0.0003940027],"category_scores_gemma":[0.01866781,0.0001011148,0.0002587769,0.001459434,0.0001091131,0.0003601735,0.0001928416,0.001018022,0.00008692773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003910095,"about_ca_system_score_gemma":0.0001057728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001201541,"about_ca_topic_score_gemma":0.00001786405,"domain_scores_codex":[0.9949555,0.0002886828,0.0007992977,0.0005757278,0.002909462,0.0004713006],"domain_scores_gemma":[0.993331,0.004142068,0.0000804923,0.001147428,0.001108407,0.000190571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001170621,0.0002031439,0.00008083664,0.00003157372,0.00006260309,0.000006747638,0.0002251161,0.1597473,0.3255682,0.506602,0.0004652052,0.006890148],"study_design_scores_gemma":[0.0002143034,0.00008486392,0.0003395438,0.000007614535,0.00001109586,0.000001752621,0.00004415923,0.6043448,0.005281057,0.3889245,0.0006884815,0.0000577611],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1118665,0.00004372415,0.885632,0.0007974343,0.0004680708,0.000266509,0.0000615626,0.00008282386,0.0007814389],"genre_scores_gemma":[0.9889751,0.00004491802,0.01059273,0.000009525989,0.0001173166,0.0000306414,0.000002574091,0.00001600306,0.0002111734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8771086,"threshold_uncertainty_score":0.9895984,"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."}}