{"id":"W7100965355","doi":"","title":"SUBSIDIES STEP 3: EVALUATE SUBSIDIES RECOMMENDATIONS FOR THE G-20","year":2009,"lang":"en","type":"article","venue":"","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Government (linguistics); Energy subsidies; Energy security; Process (computing); Developing country","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":[0.02243254,0.0008696636,0.0008682308,0.003702012,0.004563785,0.01116411,0.004376773,0.01218612,0.0328444],"category_scores_gemma":[0.06212882,0.0006489971,0.001857241,0.002318508,0.002148284,0.005034852,0.004624682,0.007221112,0.009077382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01737821,"about_ca_system_score_gemma":0.09567259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07881819,"about_ca_topic_score_gemma":0.1121425,"domain_scores_codex":[0.9828559,0.003899311,0.001031017,0.0007544657,0.007936687,0.003522586],"domain_scores_gemma":[0.9661756,0.00668832,0.001377486,0.001188733,0.0194597,0.005110086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002521829,0.0006976867,0.007698558,0.0008906791,0.00007684033,0.0004375223,0.001640314,0.004892845,0.001958514,0.1017307,0.7876669,0.09205727],"study_design_scores_gemma":[0.0004105336,0.0004529152,0.01608344,0.001740744,0.0001189929,0.00009030873,0.003783454,0.002389828,0.002914978,0.02826675,0.9435834,0.0001646513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04180966,0.002811742,0.02153205,0.3807148,0.006021116,0.01655631,0.008429758,0.002252343,0.5198721],"genre_scores_gemma":[0.2473457,0.003724097,0.1922809,0.2040905,0.002073514,0.01239306,0.006875229,0.001190662,0.3300263],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07881819,"threshold_uncertainty_score":0.1567189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04013901775514372,"score_gpt":0.2972302120365168,"score_spread":0.2570911942813731,"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."}}