{"id":"W4283258023","doi":"10.1007/s10784-022-09581-8","title":"Credibility dilemmas under the Paris agreement: explaining fossil fuel subsidy reform references in INDCs","year":2022,"lang":"en","type":"article","venue":"International Environmental Agreements Politics Law and Economics","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Credibility; Subsidy; Political science; Politics; Treaty; Conditionality; Political economy; International community; Economics; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002887906,0.0002325494,0.0001887689,0.00008225186,0.0004199001,0.00006822806,0.0003876837,0.00005708603,0.001913676],"category_scores_gemma":[0.000002269076,0.0002138856,0.00007668964,0.0000346452,0.0003255646,0.0002815472,0.0002906628,0.0002487783,0.00002893243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031086,"about_ca_system_score_gemma":0.00001775801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01194441,"about_ca_topic_score_gemma":0.007225535,"domain_scores_codex":[0.9982675,0.00006605819,0.0005832718,0.0004117432,0.000290187,0.0003812624],"domain_scores_gemma":[0.9993304,0.00006881501,0.000204138,0.0002896962,0.000003503892,0.0001034474],"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":[0.00004456368,0.0003408714,0.04945602,0.000007947971,0.0001767834,0.000006227001,0.001656413,0.02634891,0.00006799505,0.9211718,0.00003277392,0.0006897254],"study_design_scores_gemma":[0.003385579,0.0002580202,0.5074297,0.00001661197,0.00007703386,0.00002848283,0.02919212,0.004333892,0.0007278841,0.1098837,0.3437869,0.0008799804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9241432,0.0001486084,0.00001258736,0.001046944,0.0003744126,0.0001341885,0.0003620917,0.00001395454,0.07376405],"genre_scores_gemma":[0.9944429,0.0007188901,0.00006111004,0.002712466,0.000111219,0.0001166832,0.0004540278,0.00002231442,0.001360398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8112881,"threshold_uncertainty_score":0.9989987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01890175085784324,"score_gpt":0.2226100367894905,"score_spread":0.2037082859316473,"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."}}