{"id":"W6930722461","doi":"10.5281/zenodo.13850886","title":"Enhancing the Reliability of Urea Pumps in Fertilizer Production Lines through Exponential Reliability Analysis","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Switchover; Backup; Reliability (semiconductor); Fertilizer; Redundancy (engineering); Schedule; Production (economics); Production line; Condenser (optics)","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":[0.0008163712,0.0003364654,0.0002262287,0.0006760809,0.0001521044,0.0004165005,0.0003906737,0.0002231968,0.0003671288],"category_scores_gemma":[0.001943885,0.0001958458,0.000264193,0.0003523677,0.0001875864,0.0004111436,0.0002097743,0.0002336956,0.00009359825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004601677,"about_ca_system_score_gemma":0.0004238783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003137983,"about_ca_topic_score_gemma":0.003659615,"domain_scores_codex":[0.9996461,0.0001000649,0.00002419392,0.00006804599,0.0001262209,0.00003545521],"domain_scores_gemma":[0.9987179,0.0005372211,0.0002736832,0.00005961421,0.0003912904,0.00002024426],"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":[0.0002359201,0.0001237576,0.03189348,0.0002177821,0.00007458782,0.0002986926,0.0001921642,0.8019601,0.05696948,0.00121695,0.0004569537,0.1063601],"study_design_scores_gemma":[0.000005857332,0.0002399696,0.01106968,0.00001416959,0.0000327366,0.0001018542,0.00006238426,0.9765891,0.01091173,0.0004983233,0.0004622857,0.00001173785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8519519,0.0006199284,0.1456063,0.0001126435,0.00001240121,0.00002661689,0.00007409371,0.0001759859,0.001420158],"genre_scores_gemma":[0.9931941,0.0001262968,0.006291509,0.000003146412,0.000002806083,0.00000700968,0.0000365293,0.000008934484,0.0003296749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003137983,"threshold_uncertainty_score":0.006239414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792694256072338,"score_gpt":0.2345517664366859,"score_spread":0.2166248238759625,"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."}}