{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006473338,0.0008165968,0.0009193491,0.0006859007,0.0004942535,0.00138347,0.001220849,0.001368248,0.003426553],"category_scores_gemma":[0.0009519686,0.0005569453,0.0009337549,0.0006004177,0.0004147012,0.0006459838,0.0008055918,0.0008788623,0.0003112253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022028,"about_ca_system_score_gemma":0.001401143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01810315,"about_ca_topic_score_gemma":0.01215341,"domain_scores_codex":[0.9997656,0.00007176701,0.00001039694,0.00005280687,0.00005801763,0.00004145377],"domain_scores_gemma":[0.9996455,0.0001918999,0.00004451944,0.00001257965,0.00008041741,0.00002503128],"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":[0.000007533271,0.00001084785,0.0001381072,0.000009331847,0.000006154713,0.0000119205,0.000006311884,0.9980131,0.00009324789,0.0003838998,0.00005183759,0.001267756],"study_design_scores_gemma":[0.000002610027,0.000009005029,0.00005547062,0.000001736224,0.000003488049,0.000002007179,0.00000360686,0.9996872,0.00003016803,0.0001333827,0.00007020876,0.000001142675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1901463,0.0007127501,0.7788876,0.0004601242,0.00008294361,0.0002527574,0.0004745687,0.0005257776,0.02845724],"genre_scores_gemma":[0.9369448,0.0002709312,0.05442621,0.00005721215,0.00001858425,0.0003776556,0.0002218896,0.00004876428,0.007633909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01810315,"threshold_uncertainty_score":0.03599554,"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."}}