{"id":"W4416306757","doi":"10.1108/ecam-03-2025-0385","title":"Illustrating the impact of implementing work zones, adjusting work patterns and optimizing crew starting positions to minimize spatial conflicts","year":2025,"lang":"en","type":"article","venue":"Engineering Construction & Architectural Management","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crew; Work (physics); Workflow; Task (project management); Productivity; Cockpit; Spatial planning; Resource (disambiguation)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001029488,0.001010443,0.0002417313,0.0006339391,0.0004516586,0.00115412,0.0006351782,0.0004742589,0.001807363],"category_scores_gemma":[0.005182493,0.000275645,0.0003189137,0.0005733218,0.0003967404,0.0007258162,0.000856233,0.0003550439,0.0002714197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007825702,"about_ca_system_score_gemma":0.001558011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006596474,"about_ca_topic_score_gemma":0.008306326,"domain_scores_codex":[0.9991578,0.0003680155,0.00006027286,0.0001214991,0.0001492079,0.000143236],"domain_scores_gemma":[0.9966688,0.001884259,0.0005303717,0.0003519622,0.0003097228,0.0002549698],"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":[0.001295419,0.001135954,0.04292379,0.0005813512,0.0001088715,0.0002390575,0.0007127574,0.7515376,0.03793725,0.003698779,0.0007394743,0.1590898],"study_design_scores_gemma":[0.0003029908,0.006349788,0.04557377,0.0002101953,0.0003148146,0.0003093839,0.002926692,0.8608466,0.06995289,0.00525703,0.007768912,0.0001869786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9364445,0.0002940711,0.05656908,0.000172052,0.00003373216,0.0001651099,0.0001453146,0.0003635362,0.005812603],"genre_scores_gemma":[0.9718086,0.00007487557,0.02770834,0.00001475558,0.000002208623,0.00004051695,0.00005179579,0.00001174759,0.0002872311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006596474,"threshold_uncertainty_score":0.01311618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005924577774807011,"score_gpt":0.2198494765284703,"score_spread":0.2139248987536633,"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."}}