{"id":"W4313559955","doi":"10.1002/mde.3811","title":"When to invest in electric vehicles under dual credit policy: A real options approach","year":2023,"lang":"en","type":"article","venue":"Managerial and Decision Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Social Science Fund of China; Fundamental Research Funds for the Central Universities","keywords":"Volatility (finance); Electric vehicle; Dual (grammatical number); Investment (military); Economics; Automotive industry; Covariance; Econometrics; Engineering; Mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007866118,0.0002356615,0.0005533288,0.001626852,0.0001564347,0.0002882704,0.0002542048,0.0001853688,0.00008010252],"category_scores_gemma":[0.0001260721,0.0002951238,0.00009968732,0.0006466274,0.00004958965,0.0003290822,0.0003588266,0.0001424123,0.001296335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002620569,"about_ca_system_score_gemma":0.00003439847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00182237,"about_ca_topic_score_gemma":0.0006747132,"domain_scores_codex":[0.9978479,0.0000134632,0.0008440291,0.0006991985,0.00002319419,0.0005721825],"domain_scores_gemma":[0.9990023,0.0001686369,0.0001833524,0.0003948138,0.00000962703,0.0002412877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001765192,0.00009905364,0.004454128,0.00002647403,0.00004120311,0.000006377917,0.001204797,0.008891753,0.00002880446,0.968449,0.008740793,0.007881113],"study_design_scores_gemma":[0.001303804,0.00008897739,0.06291498,0.00001200706,0.000005284656,0.0000105789,0.0004528531,0.03567432,0.00001181609,0.8706593,0.02832475,0.0005413173],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800923,0.000164744,0.0005599344,0.002992948,0.0005148784,0.0003295355,0.0002915222,0.0000905717,0.01496353],"genre_scores_gemma":[0.9752395,0.01267327,0.005095048,0.003047271,0.00198887,0.0001892034,0.000187392,0.0001191939,0.001460281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09778968,"threshold_uncertainty_score":0.9999501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09897532483064815,"score_gpt":0.2702840528918171,"score_spread":0.171308728061169,"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."}}