{"id":"W4413295584","doi":"10.1016/j.enpol.2025.114821","title":"Mitigation and adaptation: Assessing the multi-value benefits of transmission expansion","year":2025,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptation (eye); Value (mathematics); Natural resource economics; Economics; Environmental science; Environmental economics; Business; Environmental resource management; Statistics; Mathematics; Psychology","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":[0.003165388,0.0009799363,0.0003906791,0.001589264,0.0005013355,0.001928895,0.0007836377,0.0007598842,0.001792414],"category_scores_gemma":[0.005413715,0.0002830431,0.0007471186,0.001423813,0.0009436512,0.001802457,0.001265879,0.001014129,0.00007362932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003718264,"about_ca_system_score_gemma":0.003534022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03527531,"about_ca_topic_score_gemma":0.04879233,"domain_scores_codex":[0.9983982,0.000883871,0.00003026431,0.0001103119,0.0003847081,0.0001926503],"domain_scores_gemma":[0.997875,0.001238802,0.0002807803,0.000119295,0.0003637694,0.0001224351],"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":[0.0001185866,0.0001176993,0.01843025,0.00006454638,0.0001168291,0.0002436083,0.0001554542,0.9365614,0.001495443,0.01347875,0.0004047735,0.02881267],"study_design_scores_gemma":[0.00003422614,0.0004674532,0.03471585,0.00007342238,0.0001447162,0.000100701,0.0009294532,0.9379957,0.002273165,0.02022096,0.002975712,0.00006863477],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8846065,0.0003931515,0.06989352,0.0009025016,0.00002570301,0.000620782,0.0004702455,0.0001405196,0.042947],"genre_scores_gemma":[0.9868277,0.0001213931,0.01203649,0.00002505994,0.000004733678,0.00006886854,0.00009121938,0.00001120055,0.000813228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03527531,"threshold_uncertainty_score":0.07013994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023201109120365,"score_gpt":0.2501807554034003,"score_spread":0.2399487443121967,"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."}}