{"id":"W2749049077","doi":"10.2166/ws.2017.168","title":"An analytical solution for steady seepage into a defective pipe","year":2017,"lang":"en","type":"article","venue":"Water Science & Technology Water Supply","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Parametric statistics; Body orifice; Hydraulic head; Infiltration (HVAC); Groundwater; Mechanics; Pressure head; Volumetric flow rate; Finite element method; Pipe flow; Groundwater flow; Geotechnical engineering; Water flow; Pipe network analysis; Materials science; Geology; Mathematics; Engineering; Structural engineering; Aquifer; Physics; Composite material; Mechanical 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":[0.0003723883,0.0002342689,0.0002401267,0.0005497746,0.0009049128,0.0002994375,0.001350503,0.0002918259,0.00001263378],"category_scores_gemma":[0.00005135158,0.0001509333,0.00006723743,0.0001505048,0.001021415,0.0006797122,0.0002243842,0.0003063323,0.00003612971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311871,"about_ca_system_score_gemma":0.00001657642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004319532,"about_ca_topic_score_gemma":0.0000363176,"domain_scores_codex":[0.9981969,0.000006685565,0.0002066131,0.0004929404,0.0001973677,0.0008994965],"domain_scores_gemma":[0.9987217,0.000008154638,0.00001726384,0.001024924,0.00009611297,0.0001318117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001889693,0.00003074597,0.0009285424,0.00004088614,0.00002474195,0.0000128944,0.0006882733,0.006821586,0.9788832,0.003394621,0.00005514518,0.009100434],"study_design_scores_gemma":[0.0003694768,0.0002416385,0.001695579,0.00001314197,0.00002552201,0.00003712054,0.00004977756,0.207466,0.7573391,0.02902418,0.003363623,0.0003748324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7955602,0.00001694455,0.2008027,0.001411827,0.0004979692,0.0002607126,0.000005360532,0.001171266,0.0002730266],"genre_scores_gemma":[0.9934182,0.000002569841,0.006297616,0.00001949349,0.00005594851,0.00008713887,0.00001042405,0.00002784663,0.00008077102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2215441,"threshold_uncertainty_score":0.6959949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008452130252757243,"score_gpt":0.2459202409859866,"score_spread":0.2374681107332294,"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."}}