{"id":"W2955810178","doi":"10.29173/mocs114","title":"Case Study: Off-site manufacturing of EIFS Panelized Wall Assemblies to Gain Efficiency in Construction Sequencing","year":2019,"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":"Modular design; Engineering; Envelope (radar); Quality (philosophy); Control (management); Transport engineering; Manufacturing engineering; Process (computing); Architectural engineering; Civil engineering; Construction engineering; Computer science; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003451967,0.0003634638,0.000510753,0.0008173518,0.0001367802,0.0001453051,0.0001167935,0.0002023444,0.00007196079],"category_scores_gemma":[0.00002688806,0.000382462,0.00009049124,0.00057934,0.0001244955,0.0006713594,0.00005594039,0.0003514253,0.00001990301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002277055,"about_ca_system_score_gemma":0.00003859774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003330763,"about_ca_topic_score_gemma":0.0001857356,"domain_scores_codex":[0.9979956,0.00002724456,0.0007281864,0.0005426679,0.0003262016,0.000380077],"domain_scores_gemma":[0.9992565,0.00003272286,0.0001635313,0.0001896983,0.0002157729,0.0001418003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002219295,0.0001167474,0.5839232,0.0009754483,0.0002249666,0.0001717058,0.01174662,0.0120786,0.157032,0.003839853,0.00007602857,0.2295929],"study_design_scores_gemma":[0.01296858,0.001584445,0.04716752,0.001599864,0.0005341466,0.01893608,0.2455069,0.2392657,0.4218569,0.001564551,0.004639597,0.004375783],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995148,0.000178446,0.001587439,0.00002361024,0.0007542362,0.0008534124,0.00001078859,0.0002476583,0.001196392],"genre_scores_gemma":[0.9965171,0.00006117474,0.00317409,0.00002331769,0.00006906877,0.00004363502,0.000006458071,0.00004009313,0.00006511051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5367557,"threshold_uncertainty_score":0.9998627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068807349935887,"score_gpt":0.2087056381062634,"score_spread":0.1980175646069045,"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."}}