{"id":"W4226188925","doi":"10.5267/j.msl.2022.2.001","title":"Gym Layout Modeling and Optimization","year":2022,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Plan (archaeology); Sequence (biology); Order (exchange); Function (biology); Mathematical optimization; Industrial engineering; Operations research; Mathematics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004905026,0.001080148,0.0009804169,0.0008115218,0.0005570267,0.001301762,0.001151227,0.001603093,0.01155078],"category_scores_gemma":[0.00130528,0.0006802055,0.001215565,0.001039793,0.0005655055,0.0009231603,0.0008440595,0.0009877034,0.00147876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001389805,"about_ca_system_score_gemma":0.001560723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01661718,"about_ca_topic_score_gemma":0.01225561,"domain_scores_codex":[0.9996469,0.0001032388,0.0000155186,0.0000874644,0.00008935107,0.00005753499],"domain_scores_gemma":[0.999667,0.0001624028,0.00004658362,0.00002877877,0.00007009789,0.00002516036],"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":[0.00001151695,0.000009602765,0.0001206597,0.00002861295,0.000005052711,0.00002030255,0.000007929164,0.9909128,0.0003186793,0.003938574,0.0005082504,0.004118093],"study_design_scores_gemma":[0.000003775012,0.000008524282,0.00008763513,0.000003952287,0.000003058142,0.00000746802,0.000007574391,0.9965133,0.0001405798,0.001795368,0.001425677,0.000003109636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01949455,0.0003921856,0.9457166,0.0003999017,0.0001196478,0.0001373055,0.0009047765,0.0008719758,0.03196325],"genre_scores_gemma":[0.5628523,0.001069705,0.396038,0.0001876711,0.00008271325,0.0005530593,0.001511427,0.0004979421,0.03720723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01661718,"threshold_uncertainty_score":0.03864121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00850249454237574,"score_gpt":0.1961225182617237,"score_spread":0.1876200237193479,"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."}}