{"id":"W4231165453","doi":"10.1109/wsc.1999.816801","title":"Application of simulation in trenchless renewal of underground urban infrastructure","year":2003,"lang":"en","type":"article","venue":"WSC'99. 1999 Winter Simulation Conference Proceedings. 'Simulation - A Bridge to the Future' (Cat. No.99CH37038)","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Civil engineering; Trenchless technology; Engineering; Citation; Library science; Pipeline transport; Computer science; Environmental engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007940497,0.0007008464,0.0008186723,0.0006238154,0.0002039754,0.0001928076,0.0006443813,0.0004914065,0.0001878214],"category_scores_gemma":[0.0005182749,0.0006347973,0.000239106,0.001526823,0.0001594739,0.001090953,0.0001062002,0.0004407156,0.0000224117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007008188,"about_ca_system_score_gemma":0.000227237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000205899,"about_ca_topic_score_gemma":0.0002676644,"domain_scores_codex":[0.9958679,0.0001303633,0.001694708,0.0008044397,0.0007865,0.0007160703],"domain_scores_gemma":[0.996398,0.0004283163,0.0006169269,0.0006866929,0.001640822,0.0002292025],"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":[0.0002133914,0.00008806041,0.02894713,0.0003402923,0.0000726599,4.236748e-7,0.005042735,0.9533493,0.002708141,0.004038794,0.000387755,0.004811352],"study_design_scores_gemma":[0.001044799,0.00014787,0.0674252,0.0001009148,0.00006548432,0.000002418336,0.0009658982,0.9145322,0.0006768965,0.00563827,0.008831349,0.0005686811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6968937,0.00007216454,0.2981649,0.0001473962,0.0007777237,0.001665599,0.0000569487,0.0002194377,0.002002133],"genre_scores_gemma":[0.9964452,0.00001775951,0.002399834,0.0001062896,0.0006148802,0.00008139991,0.0001366936,0.00009174086,0.0001061718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2995515,"threshold_uncertainty_score":0.9996103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121384648729806,"score_gpt":0.2499723446910997,"score_spread":0.2387584982038017,"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."}}