{"id":"W4417168401","doi":"10.1080/03155986.2025.2598109","title":"Addressing the layout problem for an open workspace based on staff relationships and interactions: decision-making and meta-heuristic methods","year":2025,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workspace; Key (lock); Set (abstract data type)","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002594022,0.0001140095,0.0001649559,0.0003021888,0.001014892,0.001697461,0.0001301941,0.00006865156,0.00000517348],"category_scores_gemma":[0.001377198,0.00007985921,0.00001436661,0.0001991282,0.00006661338,0.001658727,0.00008021097,0.0002974126,0.000001318816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006457707,"about_ca_system_score_gemma":0.00007132385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002970587,"about_ca_topic_score_gemma":0.00002628104,"domain_scores_codex":[0.9989619,0.0001586971,0.0003805576,0.0001191059,0.0002272602,0.0001525036],"domain_scores_gemma":[0.9959664,0.003378715,0.00005517184,0.0001643679,0.0003831809,0.00005221396],"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":[0.00005694884,0.000005958577,0.00001825533,0.0001432953,0.00005027609,5.27511e-8,0.0005925935,0.906627,0.00000214692,0.07577408,0.0006739089,0.01605546],"study_design_scores_gemma":[0.0002983372,0.00005718449,0.0002529563,0.0001604216,0.00004397915,0.000002912331,0.001596089,0.9714013,0.00001243573,0.004078396,0.02200238,0.00009358746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005643845,0.0002590974,0.9909806,0.0002782883,0.0001056724,0.001330807,0.00004791928,0.00004361439,0.006389625],"genre_scores_gemma":[0.8173882,0.00004009956,0.1814633,0.00009765634,0.00002737071,0.0006887041,0.00007554626,0.000009912784,0.0002091834],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8168238,"threshold_uncertainty_score":0.9993389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.279504393796413,"score_gpt":0.4844626844884987,"score_spread":0.2049582906920857,"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."}}