{"id":"W2921867799","doi":"10.1002/eet.1849","title":"The dynamics of advancing climate policy in federal political systems","year":2019,"lang":"en","type":"article","venue":"Environmental Policy and Governance","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Simon Fraser University; Queen's University","funders":"","keywords":"Federalist; Federalism; Politics; Greenhouse gas; Opposition (politics); Political science; Commit; United Nations Framework Convention on Climate Change; Government (linguistics); Kyoto Protocol; Economics; Political economy; Economic policy; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[0.007816096,0.0001925395,0.0003299293,0.001560475,0.007043643,0.009372974,0.0008870101,0.002158618,0.006471916],"category_scores_gemma":[0.0124438,0.0002817025,0.0004505893,0.001774832,0.009435995,0.00493175,0.004242256,0.002686456,0.0003645353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01816536,"about_ca_system_score_gemma":0.006899658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01859589,"about_ca_topic_score_gemma":0.01860796,"domain_scores_codex":[0.9944696,0.002814995,0.0001460613,0.0005142597,0.0007689668,0.001286163],"domain_scores_gemma":[0.9918065,0.004229855,0.001415403,0.0005722297,0.001085703,0.0008903098],"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":[0.00001916808,0.00002423808,0.002328343,0.00002866996,0.00001312542,0.00007203813,0.002991211,0.005285461,0.0002010934,0.983465,0.001490679,0.004080995],"study_design_scores_gemma":[0.00004184074,0.00005315222,0.01239913,0.0001721007,0.00002968487,0.00006892007,0.009808394,0.02093215,0.0004943078,0.8639916,0.09195629,0.00005244068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4869063,0.002551957,0.03838778,0.04476313,0.0002722975,0.0001291455,0.0001893442,0.0001457904,0.4266542],"genre_scores_gemma":[0.9965236,0.0002279893,0.0009173271,0.0003680765,0.00003609723,0.00002091904,0.0000156859,0.000008340646,0.00188194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01859589,"threshold_uncertainty_score":0.1317996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122396286483198,"score_gpt":0.2158389161883077,"score_spread":0.2035992875399879,"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."}}