{"id":"W2335420677","doi":"10.1061/40792(173)49","title":"Stochasticity of Demand and Probabilistic Performance of Water Networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Water resources management and optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Autocorrelation; Lag; Variance (accounting); Probabilistic logic; Monte Carlo method; Reliability (semiconductor); Series (stratigraphy); Statistics; Econometrics; Computer science; Mathematics; Geology; 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":[0.002738375,0.0002683158,0.0003014363,0.0006199881,0.0002946513,0.0007498562,0.0004238969,0.0005953443,0.0005615679],"category_scores_gemma":[0.01565427,0.0004648177,0.0002944719,0.0005302376,0.0009468091,0.001391304,0.0005561639,0.0005033845,0.00008088591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124524,"about_ca_system_score_gemma":0.0005133359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006185062,"about_ca_topic_score_gemma":0.005180814,"domain_scores_codex":[0.999023,0.0004281501,0.00005838273,0.0001423214,0.000215264,0.0001328592],"domain_scores_gemma":[0.9893611,0.007706176,0.001538892,0.0005579261,0.0006524093,0.0001834062],"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":[0.00003624901,0.0000123245,0.007847744,0.000007927149,0.00001411793,0.00002580842,0.00002619458,0.9867724,0.0008611345,0.002969144,0.00005075541,0.001376257],"study_design_scores_gemma":[0.000003837389,0.00002475657,0.00374006,0.000001574965,0.000003328266,0.00001673432,0.00001351375,0.9933456,0.0005282326,0.002272216,0.00004256769,0.000007543958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539419,0.00005921001,0.04426643,0.0002558999,0.000005559622,0.00001074261,0.000110433,0.00008007875,0.001269804],"genre_scores_gemma":[0.9991028,0.00002108127,0.0007280372,0.000005409494,0.000002674408,0.00000410263,0.00004739086,0.000005854717,0.0000826204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006185062,"threshold_uncertainty_score":0.01448208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004301604262452706,"score_gpt":0.1548549186593149,"score_spread":0.1505533143968622,"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."}}