{"id":"W4402420334","doi":"10.3390/engproc2024069093","title":"Investigating the Efficacy of Topological Methods for Optimal Sensor Placement in Water Distribution Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Polytechnique Montréal","keywords":"Computer science; Topology (electrical circuits); Distribution (mathematics); Mathematics; Mathematical analysis","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":[0.002506116,0.0010999,0.0005936911,0.00144423,0.0004969984,0.0008438995,0.0008483301,0.0009570455,0.001442711],"category_scores_gemma":[0.01556593,0.0003686796,0.000488149,0.0009596637,0.0006894824,0.001924218,0.001125937,0.0005066512,0.0001451144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000913787,"about_ca_system_score_gemma":0.0009460033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004683543,"about_ca_topic_score_gemma":0.003074545,"domain_scores_codex":[0.9990545,0.0005402704,0.0000416045,0.00009624539,0.0001656733,0.0001017599],"domain_scores_gemma":[0.989265,0.008690698,0.0007335295,0.0003436792,0.0007539446,0.0002131355],"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":[0.00006152404,0.00003579874,0.0007292789,0.00006424194,0.00001905167,0.00001745319,0.00002030722,0.9854159,0.0005797293,0.003622322,0.0001263913,0.009308035],"study_design_scores_gemma":[0.00000594859,0.00006703573,0.0001946069,0.000006875706,0.000006631019,0.000007456899,0.00002936802,0.9976338,0.0003239999,0.001627382,0.00009304183,0.000003831834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3998837,0.001405864,0.5895829,0.0006572659,0.0001636156,0.0001217248,0.0001315033,0.0002882428,0.00776522],"genre_scores_gemma":[0.9593284,0.0003480003,0.03967229,0.00003360763,0.00002336266,0.00003708415,0.00005966718,0.00003849241,0.0004591276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004683543,"threshold_uncertainty_score":0.01325381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02845561741353976,"score_gpt":0.2998455449872002,"score_spread":0.2713899275736604,"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."}}