{"id":"W4412084365","doi":"10.1016/j.scs.2025.106613","title":"Exploring the relationships between building and transportation stocks to meet climate change mitigation goals","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norges Forskningsråd; China Scholarship Council; University of British Columbia; Eidgenössische Technische Hochschule Zürich; Ministry of Education of the People's Republic of China","keywords":"Climate change; Climate change mitigation; Business; Environmental planning; Environmental resource management; Transport engineering; Architectural engineering; Environmental science; Engineering; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005107253,0.0004020887,0.0002399912,0.001112325,0.0002791739,0.001125499,0.0004778591,0.0002621226,0.002047295],"category_scores_gemma":[0.001882048,0.0001605767,0.0005884158,0.001555236,0.0002925374,0.0008093347,0.00073605,0.0002759016,0.0002322582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329016,"about_ca_system_score_gemma":0.002086017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1578186,"about_ca_topic_score_gemma":0.2698479,"domain_scores_codex":[0.9997293,0.00006728052,0.00002079248,0.00004956849,0.00006261021,0.00007054281],"domain_scores_gemma":[0.9992191,0.0002392767,0.0002637501,0.00005945155,0.0001439125,0.00007462458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002924881,0.00005276121,0.9626661,0.00007009316,0.0002385042,0.0001216674,0.0004986473,0.0171411,0.001011988,0.002271018,0.0004411133,0.01545774],"study_design_scores_gemma":[0.00000208037,0.00005829861,0.9855101,0.00003761867,0.00009162724,0.00002863188,0.001748448,0.009323687,0.0003588799,0.000807821,0.002019161,0.00001365916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932214,0.0002648997,0.001826015,0.0001460606,0.000007921304,0.00001550375,0.0009554626,0.00001823742,0.003544403],"genre_scores_gemma":[0.9973873,0.0001611497,0.001455851,0.000008468553,0.00000331566,0.00001219932,0.0005154277,0.000006357539,0.0004497755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1578186,"threshold_uncertainty_score":0.3138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0710139594543068,"score_gpt":0.3072583265486638,"score_spread":0.236244367094357,"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."}}