{"id":"W4416373714","doi":"10.1016/j.cstp.2025.101660","title":"Transport emissions and climate change: Which actions are the hardest?","year":2025,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université Laval; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Centre for Interdisciplinary Research in Rehabilitation","keywords":"Climate change; Rasch model; Effects of global warming; Measure (data warehouse); Global warming; Perception","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008333672,0.0002834125,0.0003057751,0.0007828489,0.00101292,0.001932972,0.0003402554,0.0006870319,0.003074684],"category_scores_gemma":[0.003185931,0.0001057696,0.0005142164,0.001607426,0.001015375,0.001291376,0.001015168,0.0008519925,0.0001325736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002708002,"about_ca_system_score_gemma":0.00407024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2382083,"about_ca_topic_score_gemma":0.3705029,"domain_scores_codex":[0.9992149,0.0002104723,0.00003286436,0.000110181,0.0001743471,0.00025718],"domain_scores_gemma":[0.9980826,0.0006080663,0.0005959547,0.00007113348,0.000354879,0.0002872629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006557562,0.0001656083,0.9493592,0.0002116377,0.0001266483,0.0001480804,0.004061171,0.001706445,0.0004747189,0.003926843,0.0006407134,0.03911346],"study_design_scores_gemma":[0.000002164089,0.00003589007,0.9795771,0.00008454287,0.0000561395,0.00005001682,0.0120379,0.001611663,0.0002124621,0.002040078,0.00427509,0.00001686019],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778877,0.001632238,0.00125038,0.002820372,0.00004417451,0.00003871559,0.0003883561,0.00001138941,0.01592655],"genre_scores_gemma":[0.9985612,0.0005132828,0.0002751683,0.00008827065,0.000009391296,0.000006849654,0.00008687024,0.000001964932,0.0004570307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2382083,"threshold_uncertainty_score":0.4736435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08182143111790527,"score_gpt":0.4001710254113958,"score_spread":0.3183495942934905,"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."}}