{"id":"W2138921861","doi":"10.5194/dwes-3-71-2010","title":"I-WARP: Individual Water mAin Renewal Planner","year":2010,"lang":"en","type":"article","venue":"Drinking water engineering and science","topic":"Water Systems and Optimization","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"American Water Works Association Research Foundation; Water Research Foundation","keywords":"Breakage; Mains electricity; Foundation (evidence); Engineering; Electricity; Civil engineering; Geotechnical engineering; Environmental science; Forensic engineering; Geography; Computer science; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004799171,0.0001604216,0.0001200101,0.0002079917,0.0001475483,0.0002814979,0.0002445373,0.00007436474,0.0000165143],"category_scores_gemma":[0.000007252524,0.0001030882,0.00001989204,0.0001115957,0.00007019557,0.0003083221,0.00009774486,0.0002128998,0.00002094745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001669762,"about_ca_system_score_gemma":0.000005755997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001497837,"about_ca_topic_score_gemma":0.0000257899,"domain_scores_codex":[0.9988443,0.000003644052,0.000164765,0.0002364595,0.0002387988,0.0005120581],"domain_scores_gemma":[0.9996474,0.000007363252,0.000006053489,0.0001933064,0.00002260189,0.0001232158],"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":[0.000001460243,0.000006025508,0.001284294,0.00005297969,0.00001333612,0.00001183439,0.004304915,0.3395272,0.6536323,0.0004967755,0.0001747325,0.0004940848],"study_design_scores_gemma":[0.0003262886,0.00002791102,0.002398698,0.00005433473,0.0000131735,0.0001547386,0.00003744984,0.4197357,0.5616249,0.0001684004,0.01485104,0.0006073382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909096,0.00001434525,0.005733746,0.00004090374,0.002044471,0.00006888043,0.000002476592,0.0003594709,0.0008261321],"genre_scores_gemma":[0.9969695,0.000002649602,0.002518199,0.00001182091,0.0002411,0.000009459532,0.00001206056,0.00002591073,0.0002092516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09200741,"threshold_uncertainty_score":0.4203813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00524188546840148,"score_gpt":0.1687715120456299,"score_spread":0.1635296265772284,"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."}}