{"id":"W4413783551","doi":"10.3390/s25175320","title":"Design of Monitoring Systems for Contaminant Detection in Water Networks Under Pipe Break-Induced Events","year":2025,"lang":"en","type":"article","venue":"Sensors","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Polytechnique Montréal","keywords":"Environmental science; Computer science; Engineering; Forensic engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004979638,0.000623026,0.0004567056,0.0003643837,0.0004255096,0.0006552887,0.0009693081,0.00050764,0.0007241761],"category_scores_gemma":[0.001489024,0.0003151258,0.0002595356,0.0002030849,0.0004476183,0.000783351,0.0007047394,0.0003244597,0.0001704391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008589587,"about_ca_system_score_gemma":0.00074724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002154879,"about_ca_topic_score_gemma":0.002231461,"domain_scores_codex":[0.999569,0.00011172,0.00002080266,0.0001322947,0.00009626667,0.00006989157],"domain_scores_gemma":[0.9994079,0.0001681749,0.000177494,0.0000394426,0.0001653293,0.00004159886],"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":[0.0002882363,0.0001085116,0.004592313,0.0001421702,0.00004280729,0.0001037446,0.0001106928,0.8953567,0.05369807,0.00292567,0.0004356627,0.0421955],"study_design_scores_gemma":[0.00001367136,0.0002751476,0.001787516,0.00001002886,0.00002295856,0.00002481208,0.00004921345,0.9835312,0.01256953,0.00105583,0.0006497759,0.00001025034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2351318,0.0002554863,0.7601536,0.0002628991,0.00003339857,0.0002543287,0.0001233651,0.0008080398,0.002977204],"genre_scores_gemma":[0.9731276,0.00008964151,0.0260454,0.00002225849,0.000006579717,0.0001105778,0.00003884038,0.00001388005,0.0005451948],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002154879,"threshold_uncertainty_score":0.006232262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532489893703513,"score_gpt":0.2170604365217255,"score_spread":0.2017355375846904,"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."}}