{"id":"W4415458448","doi":"10.1080/07011784.2025.2567683","title":"The development of a framework to assess long-term water supply and demand projections for an integrated assessment of environment impacts for the energy sector","year":2025,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; Cenovus Energy","keywords":"Water supply; Water-energy nexus; Energy supply; Supply and demand; Energy (signal processing); Energy demand","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.003182015,0.001216922,0.0006391299,0.002317445,0.0009148185,0.002839335,0.002165479,0.001322835,0.003914262],"category_scores_gemma":[0.0040173,0.0006247176,0.001510827,0.00217538,0.0007294838,0.002435055,0.00237258,0.001481416,0.0004597772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00507254,"about_ca_system_score_gemma":0.007770372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09199424,"about_ca_topic_score_gemma":0.1065391,"domain_scores_codex":[0.9988122,0.0005492615,0.00007098583,0.0001519591,0.0002988108,0.0001168308],"domain_scores_gemma":[0.9987669,0.0004673897,0.0001498209,0.00009131486,0.0004280779,0.00009664162],"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":[0.00000737233,0.0000364664,0.001419663,0.0000771907,0.00005309804,0.00009432084,0.00009466192,0.9121382,0.0004523068,0.0694904,0.00164634,0.01448999],"study_design_scores_gemma":[0.000008818776,0.0000394389,0.001038178,0.0001209088,0.00002915381,0.0000518828,0.0003662473,0.9163789,0.0004299163,0.06725252,0.01423745,0.00004651197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0161365,0.0003724536,0.9561279,0.001274334,0.00007021111,0.0002830242,0.002332675,0.0003762622,0.02302669],"genre_scores_gemma":[0.4024799,0.001153157,0.5862227,0.0002117877,0.00005496118,0.0008505266,0.003448357,0.000175621,0.005402862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09199424,"threshold_uncertainty_score":0.1829175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.025301460295702,"score_gpt":0.2556204082902082,"score_spread":0.2303189479945062,"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."}}