{"id":"W4412073878","doi":"10.1016/j.jenvman.2025.126416","title":"Exploring water use pathways under deep decarbonization scenarios in Canada at subnational scales using GCAM-Canada","year":2025,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Alberta Environment and Protected Areas; University of Alberta","funders":"Environment and Climate Change Canada; Canada First Research Excellence Fund; University of Alberta","keywords":"Environmental science; Environmental protection; Environmental planning; Environmental resource management","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":[0.0004585463,0.0006182925,0.0003663604,0.0008506305,0.001200252,0.001136405,0.001067912,0.0004802554,0.001882889],"category_scores_gemma":[0.0008351404,0.0002644125,0.001040712,0.002791862,0.0005287562,0.0004811298,0.0007595413,0.000612369,0.0001185965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.032207,"about_ca_system_score_gemma":0.02610594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942451,"about_ca_topic_score_gemma":0.9941939,"domain_scores_codex":[0.999731,0.00004053177,0.000008137677,0.00004279743,0.00007131181,0.0001062565],"domain_scores_gemma":[0.9996011,0.00004542507,0.00002393868,0.00002050272,0.0002518495,0.00005715676],"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":[0.0002647756,0.000112852,0.1193678,0.0001732057,0.0003358291,0.0003415222,0.0002906001,0.8466057,0.001898141,0.009591958,0.00741738,0.01360034],"study_design_scores_gemma":[0.0001615051,0.00008815855,0.1496867,0.00008155432,0.0002898837,0.00006210548,0.002015616,0.8223773,0.002383664,0.002715244,0.01998887,0.0001494091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639893,0.0003538529,0.001697555,0.001011176,0.00002041064,0.00008488454,0.01659346,0.0001719459,0.01607741],"genre_scores_gemma":[0.9894419,0.0003758548,0.002885999,0.0001098922,0.000002655333,0.00004877493,0.005167439,0.00002271927,0.001944753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.032207,"threshold_uncertainty_score":0.2336793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03080080804451275,"score_gpt":0.1747029592248962,"score_spread":0.1439021511803835,"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."}}