{"id":"W2093828402","doi":"10.1016/j.proeng.2014.02.034","title":"Predicting the Leakage Exponents of Elastically Deforming Cracks in Pipes","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Leakage (economics); Materials science; Structural engineering; Composite material; Forensic engineering; Mechanics; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003913168,0.0004073321,0.0002695249,0.0007345746,0.0001053245,0.0003084201,0.0002886023,0.0005845476,0.0002950905],"category_scores_gemma":[0.003331773,0.0002937661,0.0002168194,0.0003166705,0.0002914276,0.001195443,0.0003179222,0.0003344708,0.0001049858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000296937,"about_ca_system_score_gemma":0.0001792644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006943028,"about_ca_topic_score_gemma":0.001011692,"domain_scores_codex":[0.9998653,0.00002759104,0.00001389711,0.00002954761,0.00004944054,0.00001409251],"domain_scores_gemma":[0.9981755,0.0009735827,0.0005088089,0.00009693755,0.0002040961,0.00004112952],"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":[0.0003472574,0.0001118228,0.08393775,0.0003245142,0.0000302581,0.0008732653,0.0003737195,0.6898056,0.1659632,0.002180625,0.0003872455,0.05566473],"study_design_scores_gemma":[0.000006260106,0.00007744415,0.01067284,0.00001380035,0.000004446321,0.0001012057,0.00003665813,0.9746663,0.01370952,0.0005419901,0.000156342,0.00001316597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9222465,0.0002953567,0.07629985,0.00004368848,0.000008550718,0.00002838526,0.00008043147,0.0002627268,0.000734565],"genre_scores_gemma":[0.9936141,0.00008959456,0.006014785,0.000004795151,0.000002560992,0.000009061459,0.00004019827,0.00001983267,0.0002049921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007345746,"threshold_uncertainty_score":0.00215441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002548951652022623,"score_gpt":0.1441432407044198,"score_spread":0.1415942890523972,"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."}}