{"id":"W4323528481","doi":"10.2139/ssrn.4376181","title":"The Political Viability of Carbon Pricing: Policy Design and Framing in British Columbia and California","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Framing (construction); Politics; Political science; Economics; Public administration; Geography; Law; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005704014,0.0002794674,0.0004962405,0.001969571,0.01380144,0.01235221,0.002218787,0.002937335,0.00753725],"category_scores_gemma":[0.02407137,0.0004248435,0.000224356,0.004272182,0.007738958,0.002101311,0.002634974,0.004498397,0.0002116407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1145854,"about_ca_system_score_gemma":0.1025812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9785485,"about_ca_topic_score_gemma":0.9902906,"domain_scores_codex":[0.9946191,0.001832362,0.00009370242,0.0003407985,0.001000227,0.002113719],"domain_scores_gemma":[0.9851485,0.007954071,0.0005308723,0.0003638676,0.004156662,0.001845999],"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":[0.0007763287,0.0005336805,0.08459068,0.0002694966,0.0001660793,0.0009230076,0.04768384,0.01609299,0.001030105,0.6988893,0.07474717,0.07429726],"study_design_scores_gemma":[0.0002982995,0.0001565659,0.290975,0.0007933849,0.0004728035,0.0001076253,0.2705136,0.02213533,0.002469611,0.1564339,0.255191,0.0004528143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7650626,0.001462674,0.0007349651,0.0431977,0.00009512043,0.0000862426,0.0003474333,0.00002726351,0.188986],"genre_scores_gemma":[0.9839146,0.0003647857,0.0002442962,0.001274648,0.00001434968,0.00003780414,0.00005782821,0.00001316369,0.01407849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1145854,"threshold_uncertainty_score":0.8313795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006686704857216407,"score_gpt":0.2224811645584824,"score_spread":0.215794459701266,"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."}}