{"id":"W138138192","doi":"10.22260/isarc2013/0014","title":"Improving Construction Environmental Metrics through Integration of Discrete Event Simulation and Life Cycle Analysis","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Computer science; Environmental science; Econometrics; Risk analysis (engineering); Mathematics; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007257147,0.00009589288,0.0001488822,0.0001317754,0.00005202636,0.00003033847,0.00007362464,0.00006299884,0.00004985667],"category_scores_gemma":[0.00005752354,0.00007294471,0.00008691328,0.0004164501,0.00009945554,0.0005094724,0.00002964632,0.00008831285,0.000001309536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004517434,"about_ca_system_score_gemma":0.000004169061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008575022,"about_ca_topic_score_gemma":0.00000268666,"domain_scores_codex":[0.9993408,0.000004118805,0.0002911075,0.0001093101,0.0001733832,0.00008129566],"domain_scores_gemma":[0.999649,0.00002438255,0.0001742012,0.00005957764,0.00006655278,0.00002630503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003169544,0.00005243833,0.09787591,0.0003221653,0.0007462599,2.057642e-8,0.003321578,0.1066129,0.6059176,0.01321859,0.00008975658,0.1718111],"study_design_scores_gemma":[0.0001752989,0.00002607761,0.0339153,0.00002667292,0.0002468281,0.000001781097,0.002445508,0.8924484,0.06762771,0.002951392,0.00002166642,0.0001134171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736683,0.0001035944,0.02517492,0.00004548103,0.0001006525,0.0001854304,0.000008116597,0.00003296603,0.0006805461],"genre_scores_gemma":[0.9965912,0.00002846074,0.003305272,0.000007207784,0.00002846494,0.00001219122,0.000003595603,0.000008855803,0.00001471697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7858354,"threshold_uncertainty_score":0.2974599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007024748712267992,"score_gpt":0.206692774224128,"score_spread":0.19966802551186,"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."}}