{"id":"W2889514878","doi":"10.1029/2017wr022445","title":"Changes to the Water Balance Over a Century of Urban Development in Two Neighborhoods: Vancouver, Canada","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Maj ja Tor Nesslingin Säätiö; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; Canada Foundation for Innovation","keywords":"Impervious surface; Surface runoff; Environmental science; Hydrology (agriculture); Urbanization; Irrigation; Water balance; Water cycle; Evapotranspiration; Water conservation; Water resource management; Geography; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001699892,0.0002341865,0.0003483891,0.0006843895,0.001671059,0.001267192,0.0006782955,0.0003533552,0.001617221],"category_scores_gemma":[0.0005644078,0.00021301,0.0002730575,0.001713711,0.0004388619,0.0002344365,0.0006368713,0.0003454975,0.0001878771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02174647,"about_ca_system_score_gemma":0.01043921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944746,"about_ca_topic_score_gemma":0.9975147,"domain_scores_codex":[0.9998264,0.00001545452,0.000008206885,0.00003044578,0.00005810456,0.00006139107],"domain_scores_gemma":[0.9995177,0.00002993583,0.00002778478,0.00001402944,0.0002847094,0.0001259529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003444521,0.000158008,0.9597265,0.0000839822,0.0001246023,0.0005864706,0.001935524,0.0099028,0.002328853,0.000541264,0.003314596,0.02095294],"study_design_scores_gemma":[0.00002086798,0.00003243532,0.9832309,0.00001714114,0.00002906103,0.00005433775,0.003892515,0.009925748,0.0002941081,0.00006811498,0.002409868,0.00002483215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997436,0.00006939319,0.00006532616,0.000072619,0.00000282397,0.00001319025,0.001018395,0.000007962659,0.001314322],"genre_scores_gemma":[0.9977495,0.000105116,0.0001493859,0.00001631996,0.000001260086,0.000009846098,0.0007914181,0.000003751648,0.001173347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02174647,"threshold_uncertainty_score":0.1577824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841776219784522,"score_gpt":0.2697230777043954,"score_spread":0.2513053155065501,"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."}}