{"id":"W3197910768","doi":"10.1108/ecam-11-2020-0955","title":"Integrating lean production strategies, virtual reality technique and building information modeling method for mass customization in cabinet manufacturing","year":2021,"lang":"en","type":"article","venue":"Engineering Construction & Architectural Management","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Mass customization; Personalization; Computer science; Lean manufacturing; Production (economics); Manufacturing engineering; Process management; Information system; Systems engineering; Knowledge management; 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":[0.001954987,0.0006463674,0.0002979292,0.001681028,0.0005496337,0.001694806,0.0008968111,0.0004536709,0.002639927],"category_scores_gemma":[0.002959824,0.0003542798,0.0006415711,0.001159568,0.0007580243,0.00157244,0.001135726,0.0005132391,0.000248112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034445,"about_ca_system_score_gemma":0.001493014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00195715,"about_ca_topic_score_gemma":0.002690072,"domain_scores_codex":[0.9982384,0.0009525197,0.00008343266,0.0001670249,0.000473284,0.00008528838],"domain_scores_gemma":[0.9985728,0.0009482491,0.0001340534,0.0001448287,0.0001607296,0.00003938676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000376269,0.00142865,0.01011384,0.00130985,0.0001029294,0.0007798541,0.01862213,0.06410313,0.03692191,0.06883659,0.001992243,0.7954126],"study_design_scores_gemma":[0.0002488579,0.002439995,0.01919475,0.001037192,0.0005170541,0.001556404,0.0235679,0.757787,0.09167567,0.04283322,0.05883198,0.000309962],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.181545,0.000342884,0.7953951,0.0003308151,0.00002764696,0.0006036955,0.00005325209,0.0007010682,0.02100052],"genre_scores_gemma":[0.5519524,0.0003514733,0.4448089,0.00004230387,0.000005152373,0.0003170522,0.00005707138,0.00005663016,0.002409127],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002639927,"threshold_uncertainty_score":0.01033908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007329919546447088,"score_gpt":0.2155225270995873,"score_spread":0.2081926075531402,"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."}}