{"id":"W2141173738","doi":"10.1109/icsmc.1995.538043","title":"System design with deteriorative components for minimal life cycle costs","year":2002,"lang":"en","type":"article","venue":"","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Reliability engineering; Failure rate; Reliability (semiconductor); Computer science; System lifecycle; Maintenance engineering; Genetic algorithm; Preventive maintenance; Mean time between failures; Systems design; Series (stratigraphy); Engineering","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":[0.0005340452,0.00103311,0.0008135895,0.0006173642,0.0003898026,0.0008474139,0.0008772576,0.0005974552,0.002931003],"category_scores_gemma":[0.001139335,0.0004117619,0.0005431041,0.0003945623,0.0004489828,0.0005528866,0.0005044324,0.0005621181,0.0004008187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008171211,"about_ca_system_score_gemma":0.0009347207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001112721,"about_ca_topic_score_gemma":0.001747307,"domain_scores_codex":[0.9995171,0.0001643594,0.00001949106,0.00006722302,0.0001738021,0.00005795991],"domain_scores_gemma":[0.9996668,0.0001044216,0.0000925172,0.00002407357,0.00009208157,0.00002011263],"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":[0.0001515344,0.0000542714,0.0004179589,0.0002413398,0.00004624295,0.0000862962,0.00007572168,0.9498498,0.01162642,0.01001723,0.0006558192,0.02677739],"study_design_scores_gemma":[0.00008809468,0.0005617298,0.0005082885,0.00002885217,0.0001091497,0.00009152084,0.00002925224,0.9817249,0.00480486,0.007939118,0.004099178,0.00001520942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09405566,0.0009368822,0.893522,0.0002560643,0.00004521305,0.0002066561,0.0001057146,0.0004070121,0.01046487],"genre_scores_gemma":[0.8267397,0.0008092986,0.1650955,0.0001068301,0.00007516989,0.0004068912,0.000143111,0.0001111126,0.006512275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002931003,"threshold_uncertainty_score":0.009805143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02151443021097975,"score_gpt":0.1939203127999961,"score_spread":0.1724058825890164,"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."}}