{"id":"W76681645","doi":"10.2139/ssrn.2254375","title":"Green Stimulus: A Dynamic Discrete Analysis of Vehicle Scrappage Programs","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Stimulus (psychology); Econometrics; Environmental science; Mathematics; Psychology; Cognitive psychology","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":[0.0003570815,0.0001862987,0.0003303079,0.0003147363,0.0001266676,0.00003862448,0.0002740143,0.00008000674,0.0003155942],"category_scores_gemma":[0.000009518197,0.0001573589,0.0003329597,0.0006609546,0.0001172391,0.0002645313,0.00001518949,0.0005809597,0.00004147225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002669321,"about_ca_system_score_gemma":0.0001739969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009092198,"about_ca_topic_score_gemma":0.03201202,"domain_scores_codex":[0.9975131,0.00007392234,0.0004572709,0.0002048416,0.0003406676,0.00141023],"domain_scores_gemma":[0.999275,0.00003483279,0.000262959,0.0002598395,0.00005130857,0.0001161155],"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":[0.0001342295,0.0008085362,0.1080229,0.00005114818,0.01677802,0.00001295645,0.002856849,0.1383361,0.01743306,0.4868665,0.00002531954,0.2286744],"study_design_scores_gemma":[0.004241758,0.001719272,0.4954297,0.00007699549,0.00602976,0.0000476045,0.009093433,0.08582877,0.00118381,0.3906943,0.004156276,0.001498342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912758,0.0008919242,0.005619083,0.000426146,0.00003682578,0.0001154767,0.000006195961,0.00004430307,0.001584267],"genre_scores_gemma":[0.9947604,0.001505529,0.0001175351,0.00006845808,0.00004157729,0.00002149592,0.00006227854,0.00003122717,0.003391495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3874068,"threshold_uncertainty_score":0.9975063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005080064767259731,"score_gpt":0.2233827866918231,"score_spread":0.2183027219245634,"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."}}