{"id":"W2214911374","doi":"10.2166/wpt.2015.109","title":"Pumps: energy efficiency & performance indicators","year":2015,"lang":"en","type":"article","venue":"Water Practice & Technology","topic":"Water Systems and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"HydraTek (Canada)","funders":"","keywords":"Efficient energy use; Normalization (sociology); Work (physics); Context (archaeology); Energy consumption; Environmental economics; Energy conservation; Risk analysis (engineering); Engineering; Computer science; Business; Economics; Mechanical engineering; Electrical engineering; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007718943,0.001624372,0.0007938312,0.009384772,0.0006966532,0.00635271,0.0009843671,0.001231915,0.01083338],"category_scores_gemma":[0.01768925,0.0003932161,0.0005739505,0.02129007,0.001468,0.005249815,0.002236685,0.001762627,0.006596255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002817327,"about_ca_system_score_gemma":0.002687553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004866424,"about_ca_topic_score_gemma":0.003400857,"domain_scores_codex":[0.9877703,0.00269714,0.000757198,0.0005542534,0.007776682,0.0004444398],"domain_scores_gemma":[0.9906053,0.003518403,0.001818473,0.0004918154,0.003246024,0.0003200342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002545379,0.0004827075,0.03153742,0.002214101,0.00009258424,0.0001175202,0.001318538,0.01425345,0.004115899,0.0789133,0.07418868,0.7925113],"study_design_scores_gemma":[0.00003385804,0.0006748792,0.08785611,0.001350779,0.0001149525,0.0007131695,0.004186932,0.02432132,0.0189529,0.03817005,0.8232934,0.0003315876],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07012112,0.01735079,0.4351609,0.008923249,0.000992374,0.001629716,0.02598474,0.009966476,0.4298706],"genre_scores_gemma":[0.5021458,0.01544705,0.4040593,0.00116483,0.0005669968,0.001518048,0.0136593,0.001604527,0.05983415],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01083338,"threshold_uncertainty_score":0.04082215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042964739849706,"score_gpt":0.2091313570226332,"score_spread":0.1987017096241361,"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."}}