{"id":"W1963500213","doi":"10.5555/1030453.1030704","title":"CEPM 1: special purpose simulation modeling of tower cranes","year":2002,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"BIM and Construction Integration","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; PCL Construction (Canada)","funders":"","keywords":"Tower; Tower crane; Computer science; Resource (disambiguation); Set (abstract data type); Simulation modeling; Lift (data mining); Industrial engineering; Duration (music); Simulation; Engineering; Operations research; Systems engineering; Civil engineering; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004349955,0.0006191729,0.0005508933,0.000516059,0.0004722135,0.001172794,0.001649489,0.001063708,0.007527961],"category_scores_gemma":[0.001008608,0.000502625,0.0008687592,0.0006959023,0.0003967518,0.0008187653,0.0006207003,0.0008204135,0.001251611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007948171,"about_ca_system_score_gemma":0.001596721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01447946,"about_ca_topic_score_gemma":0.009009268,"domain_scores_codex":[0.999675,0.00007531879,0.0000187907,0.00004310131,0.0001435078,0.00004426674],"domain_scores_gemma":[0.9996353,0.0001087516,0.00003729775,0.0000761012,0.0001133788,0.00002912341],"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":[0.00005099918,0.00003611965,0.0009595875,0.00006492621,0.00001430413,0.0001027455,0.00006158003,0.9701177,0.002552616,0.01106476,0.002460944,0.01251362],"study_design_scores_gemma":[0.00000971519,0.00001665853,0.0001899027,0.000006861444,0.000005454812,0.00002364314,0.00000728129,0.9906046,0.001320091,0.00104941,0.006760485,0.000005897581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05154468,0.0001301184,0.8933863,0.0001946885,0.00008666299,0.0003316149,0.002003549,0.005434466,0.04688798],"genre_scores_gemma":[0.6588915,0.0005878989,0.3099091,0.0001047547,0.00004361257,0.0009223993,0.003835886,0.0008514117,0.02485338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01447946,"threshold_uncertainty_score":0.02879035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04232238322040434,"score_gpt":0.2400065012002318,"score_spread":0.1976841179798275,"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."}}