{"id":"W2297628255","doi":"","title":"Optimal Inspection Interval for a Two-Component System with Failure Dependency","year":2012,"lang":"en","type":"article","venue":"","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Component (thermodynamics); Interval (graph theory); Failure rate; Reliability engineering; Process (computing); Dependency (UML); Mathematics; Computer science; Engineering; Physics","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":[0.0001146391,0.00009617278,0.0001037762,0.00003826548,0.00004472342,0.00002218393,0.00004842315,0.00004245,0.00001340114],"category_scores_gemma":[0.000005934355,0.00007340142,0.00003749486,0.00006571939,0.00001151826,0.0003077748,0.000008624172,0.00006155376,0.00001683027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401662,"about_ca_system_score_gemma":0.000005085009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002498005,"about_ca_topic_score_gemma":0.00004529235,"domain_scores_codex":[0.9994907,0.00000777018,0.0001267663,0.00008979212,0.00007269055,0.0002122889],"domain_scores_gemma":[0.9997535,0.00001427637,0.0000168689,0.0001124456,0.00004602446,0.00005691757],"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":[0.00005961686,0.00004431542,0.0007266671,0.0002960928,0.00004511345,4.739014e-7,0.0004362561,0.9827938,0.001069699,0.0129829,0.0007455126,0.0007995178],"study_design_scores_gemma":[0.0007747411,0.0001016311,0.0004526092,0.00008380065,0.00002407391,0.00003495435,0.001246122,0.9908248,0.004806115,0.000009370431,0.001431996,0.0002097502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1237913,0.00004468,0.8716734,0.00003621123,0.0003117449,0.0003194923,0.000002493821,0.0006123256,0.003208309],"genre_scores_gemma":[0.9493038,0.000003296177,0.05036722,0.000006269588,0.0001320028,0.00009148833,0.00001050373,0.00002075557,0.00006467622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8255125,"threshold_uncertainty_score":0.2993223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00611135233204564,"score_gpt":0.1974827928039133,"score_spread":0.1913714404718677,"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."}}