{"id":"W3139526224","doi":"10.1155/2021/6699252","title":"Investigation of Water Leakage of Metro Segments Caused by Metro Underpass Structures","year":2021,"lang":"en","type":"article","venue":"Advances in Civil Engineering","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Transportation of Ontario","funders":"National Natural Science Foundation of China","keywords":"Leakage (economics); Water leakage; Structural engineering; Forensic engineering; Metro station; Materials science; Civil engineering; Engineering; Environmental science; Composite material; Transport engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001063184,0.0002389417,0.0003968855,0.000202324,0.00001470252,0.00001226402,0.0001691186,0.0001296131,0.00003544434],"category_scores_gemma":[0.00008200479,0.0002231327,0.00007510589,0.0004045398,0.0000355763,0.0002620163,0.00004475111,0.0002659786,6.332212e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009172742,"about_ca_system_score_gemma":0.00001131647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001186075,"about_ca_topic_score_gemma":0.0001031757,"domain_scores_codex":[0.9987215,0.00001372138,0.0004664124,0.0002108777,0.0002533201,0.0003341694],"domain_scores_gemma":[0.9994557,0.0001185446,0.00003909189,0.0002713155,0.00004549201,0.00006984897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001650881,0.000003900457,0.0006596434,0.0003926719,0.00003808943,0.00000415121,0.00006941106,0.7125425,0.2855135,0.0004374658,0.00002511359,0.0003119162],"study_design_scores_gemma":[0.0004872943,0.00002938768,0.002724059,0.0001342069,0.00002413343,0.000002988598,0.00007964562,0.04870495,0.9438941,0.002361839,0.001228929,0.0003284545],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8424976,0.0100081,0.1457708,0.00002912734,0.0007267111,0.0001312083,0.00003444429,0.0003098421,0.0004921403],"genre_scores_gemma":[0.9961957,0.0003097522,0.003344004,0.000008889873,0.00002621323,0.00001116838,0.000041124,0.00004772006,0.0000154214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6638376,"threshold_uncertainty_score":0.9099086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005848713892371284,"score_gpt":0.2018805338426005,"score_spread":0.1960318199502293,"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."}}