{"id":"W4296172102","doi":"10.29173/mocs274","title":"A Fuzzy-AHP and House of Quality integrated approach for Lean Construction Concepts Assessment in Off-site Construction","year":2022,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Quality and Management Systems","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Lean project management; Lean manufacturing; Value stream mapping; Analytic hierarchy process; Lean construction; Ranking (information retrieval); Pairwise comparison; House of Quality; Process (computing); Factory (object-oriented programming); Quality (philosophy); Computer science; Process management; Manufacturing engineering; Engineering; Risk analysis (engineering); Operations research; Business; Service quality; Construction engineering; Construction industry; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004754272,0.001179979,0.001184203,0.003889842,0.001783798,0.002151134,0.00162271,0.001052378,0.002773506],"category_scores_gemma":[0.005448394,0.000690761,0.001609846,0.00362039,0.0007477953,0.001506312,0.002007682,0.00133868,0.0002196386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002892019,"about_ca_system_score_gemma":0.005001525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01652447,"about_ca_topic_score_gemma":0.02009634,"domain_scores_codex":[0.9952975,0.001821648,0.000324801,0.0003785157,0.001894422,0.0002830888],"domain_scores_gemma":[0.9979922,0.0008929232,0.00019342,0.00006770898,0.0007787776,0.00007498133],"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":[0.0001856679,0.0003476215,0.002593237,0.0008619035,0.0002601202,0.0003012717,0.0009088518,0.7283213,0.004052336,0.02996551,0.0025017,0.2297006],"study_design_scores_gemma":[0.00003412782,0.0001166184,0.0006155194,0.00006456237,0.00005078546,0.00004613523,0.0003477893,0.9862536,0.00152441,0.008821736,0.002095354,0.00002925788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01355243,0.0001500869,0.9816259,0.000123479,0.0000363625,0.0005515642,0.0001220142,0.000158535,0.003679596],"genre_scores_gemma":[0.229201,0.0002260045,0.7678015,0.00006009817,0.00002244628,0.001080728,0.0002805245,0.00003164385,0.001296028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01652447,"threshold_uncertainty_score":0.03285658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220022137242876,"score_gpt":0.2620060195229068,"score_spread":0.239805798150478,"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."}}