{"id":"W2783243595","doi":"10.1103/physreve.96.062317","title":"Organization and scaling in water supply networks","year":2017,"lang":"en","type":"article","venue":"Physical review. E","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Scaling; Water supply; Resource (disambiguation); Allometry; Probabilistic logic; Range (aeronautics); Computer science; Environmental science; Ecology; Mathematics; Environmental engineering","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":[0.001248929,0.0002206356,0.000382195,0.001733134,0.0009491692,0.002135392,0.0004870914,0.0007079681,0.001878941],"category_scores_gemma":[0.008480245,0.0002639294,0.0004706586,0.001331402,0.002843574,0.003722032,0.001108541,0.0006076544,0.0002066188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174756,"about_ca_system_score_gemma":0.0005336519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002883471,"about_ca_topic_score_gemma":0.001711216,"domain_scores_codex":[0.9990824,0.0003665751,0.00004362944,0.0002640669,0.0001540825,0.00008924391],"domain_scores_gemma":[0.9955387,0.002004702,0.001140384,0.0005022214,0.0004542726,0.0003597351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002134639,0.00003315642,0.02294199,0.0001451196,0.00009228315,0.0001599441,0.0009702249,0.08519724,0.0008587756,0.8482339,0.003433364,0.03791258],"study_design_scores_gemma":[0.000006678813,0.0000177713,0.0171877,0.00004983823,0.00001620809,0.0000912122,0.0004781233,0.08227327,0.0001593586,0.8910626,0.008639785,0.00001753146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6788976,0.007787065,0.23211,0.006946207,0.0002146367,0.0001149906,0.0006605459,0.000273881,0.07299502],"genre_scores_gemma":[0.9889443,0.001891022,0.007146378,0.0001258278,0.0001417596,0.00006095474,0.0001513579,0.00002711258,0.001511364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002883471,"threshold_uncertainty_score":0.01267952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006935046235357899,"score_gpt":0.2682054519405688,"score_spread":0.2612704057052109,"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."}}