{"id":"W3124835116","doi":"10.1016/j.jeem.2015.07.002","title":"Salience of carbon taxes in the gasoline market","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental Economics and Management","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":215,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Ottawa; Wilfrid Laurier University","funders":"","keywords":"Gasoline; Carbon tax; Economics; Salience (neuroscience); Consumption (sociology); Agricultural economics; Microeconomics; Monetary economics; Natural resource economics; Greenhouse gas; Waste management","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003608153,0.00008199617,0.0001436098,0.0000764751,0.00001428957,0.000009929861,0.000136127,0.00002117392,0.0000311929],"category_scores_gemma":[0.000001765295,0.0000628542,0.00004156845,0.00002212136,0.00008865691,0.00008348519,0.00002805631,0.00005137443,8.861975e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005213313,"about_ca_system_score_gemma":0.000003832161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001671624,"about_ca_topic_score_gemma":0.0001942883,"domain_scores_codex":[0.9993306,0.0000282322,0.0003674896,0.00007993496,0.00009509039,0.0000985841],"domain_scores_gemma":[0.9995751,0.0000186954,0.0002442543,0.000110883,0.00000144933,0.00004960913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0009686351,0.002844802,0.1685248,0.0002271587,0.001002958,0.0002826556,0.01249157,0.4491808,0.001793961,0.3053212,0.002473751,0.05488771],"study_design_scores_gemma":[0.003294219,0.0004575596,0.7929473,0.00004369582,0.0001448422,0.00004966598,0.009588481,0.001281838,0.0008590616,0.00756187,0.183483,0.0002884363],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782017,0.0003484946,0.00001217999,0.0003159672,0.0000759196,0.00005789097,0.000007902452,8.407483e-7,0.02097909],"genre_scores_gemma":[0.9866779,0.01244247,0.0002964437,0.0002413207,0.00003431373,0.000003005597,0.000002036449,0.000007012348,0.0002955419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6244225,"threshold_uncertainty_score":0.256312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009057444281464298,"score_gpt":0.1903116169399412,"score_spread":0.1812541726584769,"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."}}