{"id":"W2002608923","doi":"10.1061/(asce)wr.1943-5452.0000450","title":"Water Distribution System Rehabilitation under Climate Change Mitigation Scenarios in Canada","year":2014,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bentley (Canada)","funders":"","keywords":"Greenhouse gas; Discounting; Carbon tax; Leakage (economics); Natural resource economics; Climate change; Rehabilitation; Carbon leakage; Environmental science; Business; Environmental economics; Environmental engineering; Economics; Emissions trading; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004676912,0.00009263876,0.0001499359,0.0001093187,0.00004884198,0.00005683717,0.00005585836,0.00002852464,0.000001407821],"category_scores_gemma":[0.000001596043,0.00005893767,0.00001967593,0.00003604646,0.000006347331,0.0001553259,0.00002463043,0.00006929904,0.000001367486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000275382,"about_ca_system_score_gemma":0.000001721709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008941572,"about_ca_topic_score_gemma":0.01251993,"domain_scores_codex":[0.999149,0.00005148323,0.0003500525,0.00007782228,0.0001770175,0.0001946588],"domain_scores_gemma":[0.999801,0.00001213522,0.00005092932,0.00006351632,0.00002766311,0.0000447515],"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":[0.00004297227,0.00001063766,0.0200385,0.001479027,0.0000579881,0.00003969123,0.008483759,0.9671056,0.0001447321,0.0001909484,0.001169209,0.001236976],"study_design_scores_gemma":[0.00391703,0.0004306223,0.1890891,0.005968989,0.0002005698,0.0001592817,0.01881051,0.6791738,0.003652307,0.000149698,0.09754182,0.0009062196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930577,0.00009836503,0.005755357,0.0002959083,0.000329175,0.0001492666,0.000002533512,0.00002250621,0.0002891847],"genre_scores_gemma":[0.9996286,0.00001740085,0.000155006,0.00002493441,0.0001050122,0.00001340036,0.00002675125,0.00001085328,0.00001801246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2879317,"threshold_uncertainty_score":0.997658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005964967241689541,"score_gpt":0.1732808783534578,"score_spread":0.1673159111117682,"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."}}