{"id":"W3031520772","doi":"10.1002/aws2.1179","title":"Validation of water main failure predictions: A <scp>2‐year</scp> case study","year":2020,"lang":"en","type":"article","venue":"AWWA Water Science","topic":"Water Systems and Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"American Water (Canada)","funders":"","keywords":"Mains electricity; Robustness (evolution); Damages; Water infrastructure; Environmental science; Computer science; Electricity; Water supply; Reliability engineering; Environmental economics; Water resource management; Civil engineering; Environmental engineering; Engineering; Economics","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":[0.004131917,0.001081111,0.0007112811,0.00121571,0.0007851035,0.0009771883,0.002030757,0.002481475,0.002565135],"category_scores_gemma":[0.007488213,0.0005355212,0.001145695,0.000947484,0.000900092,0.0009698878,0.0007451618,0.001615662,0.0003967315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003593138,"about_ca_system_score_gemma":0.002016935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09780835,"about_ca_topic_score_gemma":0.07179737,"domain_scores_codex":[0.9986098,0.0005351274,0.00006064861,0.0002846044,0.0003004181,0.0002093979],"domain_scores_gemma":[0.9903731,0.006167243,0.0006400054,0.0009700498,0.001495656,0.0003539767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002171108,0.0006489723,0.02607892,0.00004958428,0.00007356551,0.0005663509,0.00006601946,0.9645103,0.001086433,0.0005412793,0.002136964,0.004024532],"study_design_scores_gemma":[0.0000826405,0.0003121813,0.01174152,0.00001091108,0.00001418534,0.00005365236,0.0001307164,0.9847142,0.001989477,0.0003208687,0.000605565,0.00002402924],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906622,0.00003672311,0.003658301,0.000232118,0.00002426324,0.0001136864,0.002232952,0.0002563453,0.002783528],"genre_scores_gemma":[0.9951173,0.00001625572,0.002587587,0.00002518271,0.000004183303,0.0000628028,0.00147063,0.00001600962,0.0007000428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09780835,"threshold_uncertainty_score":0.1944781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299181439508095,"score_gpt":0.2016643126654064,"score_spread":0.1886724982703254,"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."}}