{"id":"W7132879231","doi":"","title":"On Electric Vehicle Demand, Price Competition and Environmental Policies","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Counterfactual thinking; Market share; Subsidy; Counterfactual conditional; Product (mathematics); Margin (machine learning); Competition (biology); Product differentiation; Market power","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001171904,0.0005415141,0.0005563372,0.000635956,0.000339163,0.001092233,0.0006267331,0.0009852181,0.01052577],"category_scores_gemma":[0.00322136,0.0003632499,0.001081998,0.0009293722,0.0006693374,0.000866852,0.0005113357,0.001058411,0.0008138585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002385034,"about_ca_system_score_gemma":0.001025461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03046471,"about_ca_topic_score_gemma":0.0326249,"domain_scores_codex":[0.999393,0.0002114196,0.0000348618,0.0001351244,0.0001099426,0.000115557],"domain_scores_gemma":[0.9909496,0.007054379,0.001350512,0.0002274464,0.0002797244,0.0001384611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008590985,0.001537496,0.8079923,0.0003394052,0.0007734656,0.0005929937,0.0006219074,0.136443,0.003085674,0.02326567,0.00607445,0.01841456],"study_design_scores_gemma":[0.0002183347,0.001215322,0.8073494,0.00009558241,0.0004258558,0.0001321421,0.001822432,0.1667815,0.002776131,0.01017931,0.008889332,0.0001145252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866604,0.0004942536,0.001125969,0.0006826285,0.00001770294,0.00005590426,0.002686427,0.0000229248,0.008253814],"genre_scores_gemma":[0.9905146,0.0006065518,0.0004439048,0.0001327732,0.00003703069,0.00007680748,0.003357927,0.000008899816,0.004821497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03046471,"threshold_uncertainty_score":0.06057477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006564102953863477,"score_gpt":0.2516102771686305,"score_spread":0.245046174214767,"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."}}