{"id":"W3120476599","doi":"10.29173/mocs162","title":"Implementation of Prefabrication and Modular Offsite Construction using BIM and Lean Construction Techniques","year":2015,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prefabrication; Modular design; Lean construction; Engineering; Construction management; Schedule; Construction engineering; Productivity; Construction waste; Building information modeling; Construction industry; Architectural engineering; Transport engineering; Operations management; Civil engineering; Computer science; Waste management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0169111,0.0008199841,0.0003825502,0.002449736,0.001665689,0.002476217,0.001839078,0.001058973,0.00148279],"category_scores_gemma":[0.01042242,0.000416147,0.0007367213,0.001587889,0.002222778,0.003674785,0.004341085,0.001437277,0.000335882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003137891,"about_ca_system_score_gemma":0.01016637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002701887,"about_ca_topic_score_gemma":0.007475368,"domain_scores_codex":[0.9816914,0.01035407,0.0007597347,0.0006146053,0.005462718,0.001117552],"domain_scores_gemma":[0.992548,0.00298091,0.0008856468,0.001255716,0.001971429,0.000358303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001046062,0.001130762,0.0128848,0.00127047,0.000042166,0.0009331693,0.0278798,0.02185504,0.02168677,0.06831826,0.002341863,0.8415523],"study_design_scores_gemma":[0.0001653618,0.007117694,0.1087026,0.007431496,0.0001686375,0.005973471,0.1309047,0.1189055,0.07969602,0.1239236,0.4165303,0.0004807201],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3568758,0.0008397963,0.5245908,0.002412656,0.00006737123,0.003205883,0.00008269089,0.0003991319,0.1115258],"genre_scores_gemma":[0.5404357,0.0006797286,0.4525687,0.0002131124,0.00001158834,0.0006493386,0.0001382519,0.00004066146,0.005263003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0169111,"threshold_uncertainty_score":0.08943552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466718059163039,"score_gpt":0.233464978347098,"score_spread":0.2187977977554676,"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."}}