{"id":"W4312180710","doi":"10.1080/15623599.2022.2159628","title":"Decision support system (DSS) for selecting sustainable insulation material using Pareto search and novel fuzzy-modified technique for order of preference by similarity to ideal solution (TOPSIS) approach","year":2022,"lang":"en","type":"article","venue":"International Journal of Construction Management","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"TOPSIS; Ideal solution; Preference; Similarity (geometry); Pareto principle; Mathematical optimization; Multi-objective optimization; Ideal (ethics); Order (exchange); Fuzzy logic; Decision support system; Data mining; Mathematics; Computer science; Artificial intelligence; Machine learning; Engineering; Operations research; Statistics; Economics; Chemistry","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":[0.00691474,0.0001639114,0.0003694701,0.001256787,0.0003923243,0.0003765165,0.0007199025,0.00006771576,0.00004070408],"category_scores_gemma":[0.0008674227,0.0001558892,0.0001221366,0.0005861784,0.00005477442,0.0005874265,0.0005932536,0.0001503694,2.598446e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006704648,"about_ca_system_score_gemma":0.0001556847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004371397,"about_ca_topic_score_gemma":0.000001832344,"domain_scores_codex":[0.9953471,0.0001810246,0.001560617,0.0004309505,0.002216429,0.0002639209],"domain_scores_gemma":[0.9947219,0.0004968227,0.00101331,0.0002080633,0.003467094,0.00009273482],"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":[0.01506405,0.0007903508,0.00436556,0.0006291223,0.0008033944,0.00002717392,0.001542326,0.3237476,0.2851248,0.1769278,0.003194396,0.1877834],"study_design_scores_gemma":[0.01423916,0.001814325,0.0063556,0.0005383902,0.0003543186,0.002490855,0.04036317,0.8274056,0.02846535,0.05557095,0.02118452,0.001217767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2200663,0.000007420504,0.7772763,0.0001090221,0.001062086,0.001174768,0.000164751,0.00001098938,0.0001283793],"genre_scores_gemma":[0.6862561,0.000001640194,0.3134612,0.00002622246,0.00009533344,0.00008141039,0.00001780533,0.00001221163,0.00004814642],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.503658,"threshold_uncertainty_score":0.6356978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1412321751403069,"score_gpt":0.4047299272236309,"score_spread":0.263497752083324,"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."}}