{"id":"W4400235017","doi":"10.11159/iccste24.238","title":"Quantifying the Monetary Impact of Schedule and Cost Risks in Construction Projects","year":2024,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Schedule; Computer science; Reliability engineering; Engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007609747,0.0008819918,0.0003878655,0.00433149,0.0004637309,0.002306105,0.00063791,0.0006804201,0.001198888],"category_scores_gemma":[0.03390952,0.000363255,0.0005372493,0.002776508,0.0005269505,0.001985993,0.00132667,0.000594907,0.0001389672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002618192,"about_ca_system_score_gemma":0.00207665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0051192,"about_ca_topic_score_gemma":0.005803102,"domain_scores_codex":[0.9906183,0.004680304,0.0005399488,0.0003016189,0.003542013,0.0003178278],"domain_scores_gemma":[0.9647194,0.02572284,0.005063092,0.0007589501,0.00324544,0.0004902805],"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":[0.000717058,0.0004657425,0.1211911,0.000529525,0.0002837507,0.0005251915,0.0007882747,0.6826053,0.005552559,0.009194454,0.001024598,0.1771225],"study_design_scores_gemma":[0.00004176434,0.002685854,0.2044971,0.0002802948,0.0002980003,0.0005077575,0.002912288,0.7592747,0.009894514,0.01498787,0.00441809,0.0002017338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9048747,0.0009771386,0.07404791,0.0003270672,0.00004460978,0.0005638074,0.0006723088,0.0001554607,0.01833689],"genre_scores_gemma":[0.9775696,0.0004689171,0.02052076,0.0000138611,0.00001333268,0.0001530641,0.000240064,0.00002111334,0.0009993619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007609747,"threshold_uncertainty_score":0.04024464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09964196510719714,"score_gpt":0.3485663350643219,"score_spread":0.2489243699571248,"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."}}