{"id":"W3191796123","doi":"10.1111/ropr.12440","title":"Climate and transportation policy sequencing in California and Quebec","year":2021,"lang":"en","type":"article","venue":"Review of Policy Research","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; York University; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Greenhouse gas; Emissions trading; Government (linguistics); Economics; Carbon price; Climate policy; Climate change; Natural resource economics; Public economics; Business; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00131505,0.0001812267,0.0002017574,0.001629298,0.002418317,0.002269066,0.001039327,0.0004599377,0.004521629],"category_scores_gemma":[0.004033957,0.0001160127,0.0002966911,0.004118086,0.001101653,0.0006132953,0.0005306132,0.0007793222,0.0001127624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08669353,"about_ca_system_score_gemma":0.070008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997373,"about_ca_topic_score_gemma":0.9985327,"domain_scores_codex":[0.998925,0.000169722,0.00003726634,0.0001524088,0.0003690324,0.0003465113],"domain_scores_gemma":[0.9958418,0.0006805786,0.0004819262,0.00009884887,0.002405475,0.0004913023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003409174,0.0002819125,0.651623,0.001152173,0.0005877259,0.001051146,0.00565303,0.02927784,0.002402863,0.08125608,0.07098052,0.1553929],"study_design_scores_gemma":[0.00004877168,0.00006361924,0.8974466,0.000534634,0.000156485,0.00008920876,0.00792743,0.005785098,0.0006383396,0.001404087,0.08578815,0.0001177726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8195327,0.01517894,0.002128188,0.01360374,0.0002222212,0.0002256694,0.01223141,0.0001185586,0.1367585],"genre_scores_gemma":[0.9892351,0.002533539,0.0007524795,0.0007829426,0.00001181804,0.00003620464,0.001467784,0.00001001413,0.005170165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08669353,"threshold_uncertainty_score":0.6290085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05047654089434348,"score_gpt":0.3809072109686305,"score_spread":0.330430670074287,"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."}}