{"id":"W2954735062","doi":"10.29173/mocs98","title":"Mass Timber Productivity- the Significance of Reduction in Non-Value Add Activities during On-Site Installation Sequence.","year":2019,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Technology Sydney","keywords":"Productivity; Construction industry; Process (computing); Building industry; Engineering; Operations management; Business; Environmental resource management; Architectural engineering; Computer science; Environmental science; Construction engineering; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00172574,0.0003048475,0.0002519142,0.001417147,0.0003347605,0.001698764,0.0006204401,0.0003218195,0.003171217],"category_scores_gemma":[0.004156206,0.0001676251,0.0003568062,0.001762506,0.000617246,0.0008508085,0.0008455543,0.0003486761,0.0005712561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064813,"about_ca_system_score_gemma":0.001243607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003453433,"about_ca_topic_score_gemma":0.01126194,"domain_scores_codex":[0.9983926,0.0003002031,0.00008811026,0.0001648484,0.0009421832,0.000112107],"domain_scores_gemma":[0.99691,0.001004127,0.001139725,0.0001220529,0.0007041674,0.000119973],"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":[0.0002457978,0.0002386014,0.1092574,0.01123063,0.0002226644,0.001508514,0.005643356,0.001855467,0.0418715,0.004874737,0.002980671,0.8200706],"study_design_scores_gemma":[0.00001043918,0.00138593,0.8964198,0.002167326,0.0002890942,0.002073258,0.01158328,0.0006875517,0.02216131,0.002561908,0.06060668,0.00005352684],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8762328,0.05126796,0.008623854,0.001022659,0.0001603152,0.0002776783,0.001275582,0.00008664769,0.0610524],"genre_scores_gemma":[0.9752021,0.0151621,0.003264198,0.00009694159,0.00003424489,0.00006220328,0.0003647577,0.0000272808,0.005786091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003453433,"threshold_uncertainty_score":0.01060873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005849767701162874,"score_gpt":0.1888075885468773,"score_spread":0.1829578208457144,"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."}}