{"id":"W4413213988","doi":"10.2139/ssrn.5386984","title":"A Quantitative Assessment of Daily Transportation Energy Demand and Electrification Potential Across the Dwelling Types in the Greater Toronto and Hamilton Area","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrification; Energy demand; Transport engineering; Geography; Regional science; Natural resource economics; Engineering; Economics; Electricity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002059548,0.0002126271,0.000189498,0.001505292,0.0006876319,0.0009112721,0.0004600752,0.0002407416,0.001682021],"category_scores_gemma":[0.0009553559,0.000192438,0.0002900325,0.004075362,0.0005300971,0.0003353073,0.0005516657,0.0001574915,0.00009932117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007032547,"about_ca_system_score_gemma":0.003175267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.948026,"about_ca_topic_score_gemma":0.9822764,"domain_scores_codex":[0.9997521,0.00004510569,0.00001603184,0.00004422196,0.00008015837,0.00006221689],"domain_scores_gemma":[0.9993095,0.0001352953,0.0001359212,0.00003048314,0.0002519075,0.0001368021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001289533,0.00002688969,0.9872109,0.00005475327,0.0001091687,0.0001869328,0.002395091,0.002322497,0.001897079,0.0004162814,0.000518589,0.004732937],"study_design_scores_gemma":[0.000001677927,0.00001475187,0.9967809,0.00000417846,0.00001133938,0.0000172993,0.002110557,0.000740807,0.00006167528,0.00002009114,0.0002320847,0.000004581297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979433,0.00003868153,0.00009210086,0.0000245354,5.484504e-7,0.0000111785,0.00121888,0.000002672466,0.0006679745],"genre_scores_gemma":[0.9989246,0.00003301169,0.0001270523,0.000005380143,7.393947e-7,0.000007302862,0.0004737667,0.000001039316,0.000427229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.051974,"threshold_uncertainty_score":0.1045601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494294172402416,"score_gpt":0.3176897361728761,"score_spread":0.3027467944488519,"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."}}