{"id":"W3209882205","doi":"10.1108/sasbe-04-2021-0064","title":"An integrated space-based building maintenance management model using multi-objective optimization","year":2021,"lang":"en","type":"article","venue":"Smart and Sustainable Built Environment","topic":"Facilities and Workplace Management","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Particle swarm optimization; Weibull distribution; MATLAB; Computer science; Sensitivity (control systems); Reliability engineering; Multi-objective optimization; Engineering; Mathematical optimization; Mathematics; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003956,0.0002855195,0.0002419008,0.0001423835,0.0003516203,0.0001136246,0.0001389933,0.0001040786,0.0005293516],"category_scores_gemma":[0.000009406582,0.0002901836,0.00006696183,0.0001910393,0.0001128285,0.000162964,0.0002201916,0.0001556823,0.000009919478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005510413,"about_ca_system_score_gemma":0.00004241623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003875864,"about_ca_topic_score_gemma":0.00001308807,"domain_scores_codex":[0.9978942,0.0001590269,0.0002638862,0.0007170772,0.0002099866,0.0007558032],"domain_scores_gemma":[0.9991367,0.00002029124,0.00008166252,0.0005697472,0.00005017334,0.0001414457],"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":[0.0001207963,0.0003917949,0.001774768,0.0001035394,0.000111625,0.0003516339,0.0006676135,0.9818352,0.00006568634,0.01235029,0.0004345149,0.001792474],"study_design_scores_gemma":[0.002083013,0.0001114393,0.001727969,0.00004558849,0.0001201568,0.000006980506,0.04613024,0.9272701,0.0001436545,0.0004957995,0.02142238,0.0004427178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1192862,0.0003681477,0.8764328,0.0004248373,0.0001281624,0.0005977764,0.00001326895,0.00006368176,0.002685091],"genre_scores_gemma":[0.741379,0.0001547115,0.1959649,0.0004708462,0.0000319696,0.000170497,0.0000890138,0.00006145122,0.06167762],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6804679,"threshold_uncertainty_score":0.9999551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518300650654917,"score_gpt":0.2560483409691248,"score_spread":0.2408653344625756,"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."}}