{"id":"W4376870042","doi":"10.1016/j.enpol.2023.113616","title":"Navigating the razor's edge: Public acceptance of climate policies and the case of transport pricing","year":2023,"lang":"en","type":"article","venue":"Energy Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Dominance (genetics); Politics; Greenhouse gas; Public policy; Transformative learning; Public economics; Political science; Position (finance); Business; Economics; Public relations; Public administration; Sociology; Economic growth; Finance; Law; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001246194,0.00009349301,0.0002103539,0.00004551358,0.0006413587,0.00003298787,0.0003261506,0.0000556555,0.00002134128],"category_scores_gemma":[0.0001688112,0.0000545178,0.00009782361,0.001255378,0.001359274,0.0002000988,0.00003931812,0.0001354976,5.648604e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001935252,"about_ca_system_score_gemma":0.0001615728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1147269,"about_ca_topic_score_gemma":0.03039851,"domain_scores_codex":[0.9988185,0.000152372,0.0003368714,0.0001472499,0.0001892923,0.0003557763],"domain_scores_gemma":[0.9991018,0.0003263263,0.0001983554,0.0002424397,0.00007193044,0.00005917141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003549675,0.00003726471,0.13762,0.00008127835,0.0000480437,0.00002734908,0.09333505,0.00006642142,0.0002289517,0.7013843,0.00006250611,0.06707335],"study_design_scores_gemma":[0.003510355,0.00008220169,0.8005849,0.0003331782,0.0002187737,0.00003345765,0.1095545,0.00104,0.006276993,0.05526824,0.02227059,0.0008267835],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807075,0.0002705529,0.0000214406,0.009880054,0.00006789956,0.00009813481,0.00002113408,0.00005276581,0.008880472],"genre_scores_gemma":[0.99868,0.0006184403,0.00001623271,0.000201449,0.0002790444,0.00001416988,0.000004040792,0.000009138426,0.0001774972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6629649,"threshold_uncertainty_score":0.9872942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467773177032827,"score_gpt":0.336618468541024,"score_spread":0.3119407367706957,"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."}}