{"id":"W4415877470","doi":"10.3390/systems13110984","title":"Building Resilient Water Supply Systems Through Economic Instruments: Evidence from a Water Resource Fee-to-Tax Reform","year":2025,"lang":"en","type":"article","venue":"Systems","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Resilience (materials science); Sustainability; Resource (disambiguation); Water supply; Water scarcity; Groundwater; Psychological resilience; Resource efficiency; Water resources","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003506881,0.0003141064,0.0003889404,0.0002380288,0.0001483378,0.0004911585,0.0004716758,0.0001305252,0.00003597012],"category_scores_gemma":[0.000005919296,0.0002173877,0.00007545454,0.0001140912,0.00002063368,0.000501721,0.0002543865,0.000140075,0.0005710535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009902344,"about_ca_system_score_gemma":0.000006810525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003256524,"about_ca_topic_score_gemma":0.00006189559,"domain_scores_codex":[0.9979841,0.00008120148,0.000652481,0.0004712939,0.0002260198,0.0005849717],"domain_scores_gemma":[0.9991869,0.00002279544,0.00004384617,0.0006358135,0.00002766183,0.00008297323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006080909,0.00001216425,0.001080995,0.000787698,0.0002688397,0.000009578272,0.003391807,0.9754163,0.009113994,0.0005015748,0.008926921,0.0004293091],"study_design_scores_gemma":[0.0008445847,0.00006682448,0.0002941652,0.003237597,0.0001074135,0.000004516487,0.001717429,0.2651894,0.0446112,0.00009727914,0.6830761,0.0007534765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961427,0.001255843,0.01889559,0.0004409886,0.003526091,0.001520098,0.00003725853,0.0006084917,0.01228862],"genre_scores_gemma":[0.9921927,0.00005229588,0.0004589,0.00005132336,0.0002487268,0.0002180607,0.00008421695,0.00006025705,0.00663354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7102268,"threshold_uncertainty_score":0.8864815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009951955045660326,"score_gpt":0.2144359021359398,"score_spread":0.2044839470902795,"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."}}