{"id":"W4242048281","doi":"10.1109/wsc.2014.7020172","title":"Material and facility layout planning in construction projects using simulation","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Winter Simulation Conference 2014","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Haulage; Material handling; Yard; Computer science; Process (computing); Genetic algorithm; Position (finance); Page layout; Domain (mathematical analysis); Industrial engineering; Engineering; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008885839,0.0006855772,0.0009304472,0.0009183153,0.0005688637,0.001041912,0.0008392932,0.001172394,0.002948939],"category_scores_gemma":[0.002099079,0.0009100482,0.0009038649,0.001425193,0.0005952059,0.0007163364,0.0007415031,0.0006678706,0.0002535777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456797,"about_ca_system_score_gemma":0.002033413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0244031,"about_ca_topic_score_gemma":0.02277971,"domain_scores_codex":[0.9994048,0.0003606814,0.00002335664,0.00004768845,0.0001086061,0.00005487965],"domain_scores_gemma":[0.9986721,0.0009548707,0.0001045557,0.00006944368,0.0001363023,0.00006271256],"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":[0.000007046499,0.000005664824,0.0001476687,0.000005102747,0.000003642532,0.000006895895,0.000006029886,0.9981948,0.00009035015,0.0004652822,0.00002283063,0.001044686],"study_design_scores_gemma":[0.000004209745,0.000007056629,0.00005604618,0.000002467006,0.000001742404,0.000002549741,0.00000482931,0.9993686,0.00008391379,0.0002913129,0.0001748957,0.000002381337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1445763,0.0003577998,0.8393896,0.0002340413,0.00004077062,0.0001808338,0.0002360069,0.000600852,0.01438371],"genre_scores_gemma":[0.8215408,0.000389047,0.1743881,0.00003229674,0.00001325213,0.0003331477,0.0002334938,0.00008008108,0.002989839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0244031,"threshold_uncertainty_score":0.04852211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893667518785393,"score_gpt":0.2569883406877406,"score_spread":0.2280516654998866,"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."}}