{"id":"W4200378498","doi":"10.5109/4738547","title":"Global Challenges with Ageing Water Storage Infrastructure","year":2021,"lang":"en","type":"article","venue":"Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES)","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"","keywords":"Ageing; Water storage; Water infrastructure; Business; Computer science; Environmental science; Geology; Oceanography; Water supply; Environmental engineering; Biology","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":[0.001679513,0.0005175647,0.0005221624,0.0003819868,0.000689716,0.00252483,0.00120177,0.002158542,0.009644467],"category_scores_gemma":[0.001861081,0.0002253682,0.000444499,0.001425354,0.001395415,0.006113575,0.002121873,0.001831703,0.001180435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542032,"about_ca_system_score_gemma":0.001570845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00556969,"about_ca_topic_score_gemma":0.006740784,"domain_scores_codex":[0.9996446,0.00007630153,0.00001728372,0.00005695954,0.0001192174,0.00008569776],"domain_scores_gemma":[0.999032,0.0003179443,0.0001138396,0.00006861277,0.0003014525,0.0001661713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001506731,0.0001082276,0.01570777,0.0008857729,0.0001552134,0.0009334027,0.001381668,0.1967648,0.005696805,0.3404315,0.1679076,0.2698767],"study_design_scores_gemma":[0.00002774048,0.0001851428,0.007360229,0.0003672075,0.00007952038,0.001031706,0.006996834,0.1002968,0.002553023,0.3994864,0.4814829,0.0001324755],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2497566,0.05641842,0.1136866,0.3971492,0.006539177,0.0001000038,0.004676308,0.001577013,0.1700966],"genre_scores_gemma":[0.9245736,0.03406765,0.01422554,0.005744361,0.00124952,0.00005294255,0.001044285,0.0002219369,0.0188202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009644467,"threshold_uncertainty_score":0.03226399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866151447958421,"score_gpt":0.2184719586315021,"score_spread":0.1998104441519178,"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."}}