{"id":"W2097911660","doi":"10.5555/2693848.2694271","title":"Material and facility layout planning in construction projects using simulation","year":2014,"lang":"en","type":"article","venue":"Northumbria Research Link (Northumbria University)","topic":"BIM and Construction Integration","field":"Engineering","cited_by":4,"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":[0.0008481398,0.0006198431,0.0008512732,0.0009317159,0.0006065773,0.001035705,0.0007447916,0.0009500604,0.002670573],"category_scores_gemma":[0.001723878,0.0008788233,0.0007713189,0.001288537,0.0006000012,0.0006862882,0.0007403176,0.0005505891,0.0002832866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497175,"about_ca_system_score_gemma":0.001976488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.022451,"about_ca_topic_score_gemma":0.02386963,"domain_scores_codex":[0.9994264,0.0003336148,0.00002377388,0.00004932184,0.0001208697,0.00004597914],"domain_scores_gemma":[0.9989126,0.0007657141,0.00008627644,0.00006132614,0.0001224208,0.0000516702],"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":[0.000009479388,0.000007674234,0.0002251707,0.00000750483,0.000004394196,0.000009432413,0.00001152177,0.996686,0.0001889859,0.0006532549,0.00003323368,0.002163368],"study_design_scores_gemma":[0.000004056072,0.000008021966,0.00008309985,0.000003495079,0.000002128121,0.000003720464,0.000007701396,0.9991488,0.0001461567,0.0003327403,0.0002569804,0.000003049707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1063115,0.0002425811,0.8812642,0.0001530736,0.00002808537,0.0001489405,0.0001444181,0.0005950067,0.01111207],"genre_scores_gemma":[0.7749783,0.0003308486,0.2211721,0.00002423216,0.00001053502,0.0003065361,0.0001914025,0.00008385955,0.002902152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.022451,"threshold_uncertainty_score":0.04464066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05344946049712605,"score_gpt":0.2797444416843364,"score_spread":0.2262949811872103,"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."}}