{"id":"W3122932756","doi":"10.1016/j.ijindorg.2015.10.004","title":"Scrapping subsidies during the financial crisis — Evidence from Europe","year":2015,"lang":"en","type":"article","venue":"International Journal of Industrial Organization","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Subsidy; Fuel efficiency; Consumption (sociology); Competitor analysis; Financial crisis; Business; Crowding out; Economics; Agricultural economics; International economics; Monetary economics; Engineering; Marketing; Market economy; Macroeconomics","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":[0.0002754894,0.0001117457,0.0001356975,0.0001292234,0.00008808376,0.0001074116,0.0004414294,0.00008746939,0.0002314039],"category_scores_gemma":[0.001866185,0.00008493031,0.00005030002,0.0003249599,0.00004670611,0.0005643273,0.00003720262,0.0002116778,0.00003152091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457922,"about_ca_system_score_gemma":0.000152019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007686079,"about_ca_topic_score_gemma":0.000147461,"domain_scores_codex":[0.9985082,0.0001012305,0.0005213941,0.0001091317,0.0006539369,0.0001061218],"domain_scores_gemma":[0.9983843,0.00009974302,0.0004922695,0.000105351,0.0008404817,0.00007787166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000966213,0.000308349,0.6494721,0.00000678589,0.001007456,0.0002968175,0.01889898,0.2589743,0.03458599,0.01429935,0.01579039,0.005393302],"study_design_scores_gemma":[0.00903069,0.0003156884,0.6715802,0.0007003238,0.0004031145,0.0001998072,0.005257232,0.0002524924,0.2403376,0.003397597,0.06764274,0.0008825462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898995,0.0002414017,0.002510188,0.004790924,0.002292436,0.0000412373,0.000009611947,0.00002155753,0.00019318],"genre_scores_gemma":[0.9960669,0.0003721658,0.0001170336,0.0003178982,0.002976957,7.914454e-7,0.00002155799,0.00002147091,0.0001052019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2587218,"threshold_uncertainty_score":0.3463357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04564342866900954,"score_gpt":0.2501266754914083,"score_spread":0.2044832468223987,"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."}}