{"id":"W4401960252","doi":"10.3390/engproc2024069003","title":"AI-Assisted Pump Operation for Energy-Efficient Water Distribution Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Water Systems and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Energy (signal processing); Physics","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":[0.000609901,0.0006603103,0.000501745,0.0004048732,0.00041612,0.0008625499,0.0009134806,0.0005994627,0.003026546],"category_scores_gemma":[0.001032613,0.0003122459,0.0005070099,0.0003170526,0.0003654968,0.0009311816,0.0007856622,0.0008111243,0.0003749881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008384439,"about_ca_system_score_gemma":0.001424514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01306771,"about_ca_topic_score_gemma":0.01398237,"domain_scores_codex":[0.9997192,0.0001056234,0.000011411,0.00004166129,0.00007679489,0.00004524556],"domain_scores_gemma":[0.9997148,0.000147776,0.00003340542,0.00002272362,0.00006005061,0.00002126295],"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":[0.00004670232,0.00003274538,0.0002252675,0.00003526264,0.00001006324,0.00003420695,0.00002816761,0.9784697,0.001861673,0.002235189,0.0005048625,0.01651605],"study_design_scores_gemma":[0.000003257804,0.000009311088,0.00002355635,0.000001250469,0.000001648041,0.000002885649,0.000005917337,0.9989223,0.000284038,0.0004901183,0.000254158,0.000001649711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04804737,0.0002038207,0.9412015,0.0003169627,0.00005372683,0.0001008395,0.0001805521,0.002108525,0.007786714],"genre_scores_gemma":[0.9136631,0.00007476911,0.08302151,0.00006573492,0.00001353402,0.0001022316,0.0001304526,0.00008576769,0.002842958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01306771,"threshold_uncertainty_score":0.02598333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007675877459975622,"score_gpt":0.1959837920820686,"score_spread":0.188307914622093,"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."}}