{"id":"W4407080367","doi":"10.1007/s41062-025-01888-0","title":"Construction schedule planning to incorporate social distancing regulations during pandemics – a BIM-based approach","year":2025,"lang":"en","type":"article","venue":"Innovative Infrastructure Solutions","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Social distance; Pandemic; Schedule; Coronavirus disease 2019 (COVID-19); Environmental planning; Computer security; Environmental engineering science; Distancing; Computer science; Engineering; Internet privacy; Risk analysis (engineering); Business; Biogeosciences; Geography; Medicine; Infectious disease (medical specialty); Geology; Disease","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":[0.002220536,0.001268726,0.0009615801,0.003202683,0.001196042,0.002938269,0.002153187,0.001519633,0.007919496],"category_scores_gemma":[0.003666662,0.001223876,0.001277019,0.002726375,0.0008546432,0.002548832,0.002687413,0.001251651,0.001413018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001709358,"about_ca_system_score_gemma":0.005040667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01851032,"about_ca_topic_score_gemma":0.03230283,"domain_scores_codex":[0.9983139,0.0006566539,0.00009724092,0.0002226554,0.0004798862,0.0002297356],"domain_scores_gemma":[0.9987663,0.000388973,0.0001770147,0.0001691463,0.0003739924,0.000124588],"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":[0.00006988215,0.0002354125,0.002138648,0.0001832845,0.00006397738,0.000213493,0.0005700061,0.8633222,0.002852167,0.03187427,0.003808231,0.09466848],"study_design_scores_gemma":[0.00001661601,0.00007090973,0.001081905,0.0000706764,0.00003440799,0.000053771,0.000837144,0.9700286,0.001487828,0.01449199,0.01179067,0.00003539624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02834603,0.0001613813,0.9383962,0.0007778661,0.0001141383,0.0005702687,0.0007282965,0.000927347,0.02997853],"genre_scores_gemma":[0.4360093,0.0002919043,0.555487,0.00009837244,0.00003053167,0.0004444637,0.001304623,0.0002597408,0.006074082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01851032,"threshold_uncertainty_score":0.03680515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120365201270102,"score_gpt":0.2402550785152352,"score_spread":0.228218558388225,"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."}}