{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004189775,0.0001272597,0.0001416125,0.0001149624,0.00003817615,0.00004383073,0.0000855809,0.00009210833,0.003661596],"category_scores_gemma":[0.00002656037,0.0001309154,0.00006017843,0.0001221501,0.00002895487,0.0003410847,0.00001041775,0.0001015959,0.00006206959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002922168,"about_ca_system_score_gemma":0.00000559293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003880721,"about_ca_topic_score_gemma":0.0000114367,"domain_scores_codex":[0.9992188,0.00001668204,0.0003427039,0.0001407871,0.0001627302,0.0001183545],"domain_scores_gemma":[0.9994819,0.00005014499,0.00004726338,0.0001581751,0.0002246435,0.00003790235],"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":[0.000008636713,0.00001070002,0.0001963148,0.00001301575,0.0000103598,2.888835e-7,0.0006674912,0.9601437,0.0003750391,0.0009228056,0.0000654167,0.03758625],"study_design_scores_gemma":[0.0002307696,0.00001725857,0.0001060327,0.00003711459,0.00001039604,9.83498e-7,0.00007345003,0.9961662,0.0003820526,0.0007838543,0.002059713,0.0001321315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1525251,0.00006342099,0.8192551,0.00004067293,0.001064493,0.0001564316,0.000008722444,0.0001863017,0.02669978],"genre_scores_gemma":[0.9987544,0.00001012154,0.0003832727,0.00001698969,0.0004772488,0.000005043535,0.000009117163,0.00001402228,0.0003297694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8462293,"threshold_uncertainty_score":0.9972492,"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."}}