{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01291502,0.0003187337,0.0007373794,0.001398654,0.01022372,0.01671831,0.002285259,0.01969034,0.01043611],"category_scores_gemma":[0.03246475,0.0003603711,0.001013326,0.0018279,0.03668786,0.01467323,0.009321586,0.01274651,0.000264411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008159552,"about_ca_system_score_gemma":0.009145592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03290405,"about_ca_topic_score_gemma":0.02350931,"domain_scores_codex":[0.9891219,0.006149109,0.0001502007,0.0006168783,0.00107697,0.002884965],"domain_scores_gemma":[0.9713675,0.02342759,0.001459062,0.001021466,0.001240893,0.001483553],"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":[0.00006563863,0.00007581456,0.002096578,0.00002143252,0.00001814529,0.0004978546,0.01825219,0.000773808,0.00009937601,0.9724383,0.002778861,0.002882026],"study_design_scores_gemma":[0.00009103528,0.00003873304,0.003151875,0.00009595841,0.00002306243,0.000150057,0.05572438,0.001918556,0.0001667804,0.9189326,0.01965527,0.00005162083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4484604,0.00116925,0.005065133,0.328969,0.0002711989,0.00003738838,0.00005512527,0.00002504895,0.2159475],"genre_scores_gemma":[0.9960606,0.0001343501,0.0001508743,0.002409323,0.00005676236,0.00001220829,0.000003730906,0.000009112854,0.001163092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03290405,"threshold_uncertainty_score":0.06830192,"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."}}