{"id":"W4310240046","doi":"10.5334/bc.249","title":"Climate action in urban mobility: personal and political transformations","year":2022,"lang":"en","type":"article","venue":"Buildings and Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transformative learning; Transformational leadership; Greenhouse gas; Climate change; Sustainability; Action plan; Action (physics); Politics; Environmental planning; Business; Environmental resource management; Political science; Public relations; Sociology; Geography; Environmental science; Economics; Ecology; Management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003765966,0.00004737469,0.00007746661,0.00004866776,0.0007303977,0.00005916247,0.00004241005,0.0000243088,0.0002210345],"category_scores_gemma":[0.000008449451,0.00004898463,0.00002189085,0.00009649528,0.0002418064,0.0002692755,0.00001526763,0.0001091945,1.98361e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005465881,"about_ca_system_score_gemma":0.00003430613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002113941,"about_ca_topic_score_gemma":0.0009482335,"domain_scores_codex":[0.9993588,0.00004361597,0.000109124,0.0001195531,0.0001472213,0.0002216846],"domain_scores_gemma":[0.9998465,0.00003779269,0.00001636747,0.00002696883,0.00001066973,0.0000617637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003250578,0.00006594627,0.7242545,0.00006462981,0.000003878459,0.000001573658,0.05256614,6.481501e-7,0.00005550412,0.2183816,0.0001031791,0.004469828],"study_design_scores_gemma":[0.000502272,0.00007325059,0.7229517,0.0000160042,0.00002140348,0.000002443269,0.2085695,0.0001822675,0.00005452373,0.02202314,0.04537563,0.0002279164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930557,0.000312951,0.00001349638,0.001407379,0.00005404657,0.00009854274,0.00004094375,0.00002713873,0.004989807],"genre_scores_gemma":[0.9995481,0.00009359805,0.0000241315,0.0001304224,0.00004321269,0.00002682053,0.000004966092,0.000002566193,0.0001261723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1963585,"threshold_uncertainty_score":0.5617702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440924841257688,"score_gpt":0.2926067034547324,"score_spread":0.2681974550421555,"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."}}