{"id":"W3125537873","doi":"","title":"Would Hotelling Kill the Electric Car?","year":2010,"lang":"en","type":"preprint","venue":"Toulouse Capitole Publications (University Toulouse 1 Capitole)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; University of Alberta","funders":"","keywords":"Economic rent; Technological change; Incentive; Scarcity; Context (archaeology); Economics; Resource (disambiguation); Natural resource economics; Resource scarcity; Greenhouse gas; Microeconomics; Industrial organization; 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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.001092251,0.0009342525,0.001324171,0.002014743,0.001464854,0.0008960307,0.003590337,0.002422486,0.001494354],"category_scores_gemma":[0.0003210031,0.001136764,0.0008765843,0.001396359,0.0003962882,0.0008170364,0.001768388,0.004930054,0.003075388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122665,"about_ca_system_score_gemma":0.0004049122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006477532,"about_ca_topic_score_gemma":0.002308498,"domain_scores_codex":[0.9950824,0.0001049662,0.00121618,0.001979275,0.0001819853,0.001435152],"domain_scores_gemma":[0.9933121,0.0003083856,0.001718231,0.003736774,0.0003509865,0.0005735041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000122924,0.001199904,0.008923871,0.0005218245,0.001288459,0.00005029505,0.02020002,0.00287537,0.0002998407,0.8563768,0.1046102,0.003530416],"study_design_scores_gemma":[0.001392562,0.0000832018,0.006586906,0.00007249675,0.000290848,0.00007146197,0.003047023,0.02260091,0.000306494,0.05689098,0.9057432,0.002913886],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9052578,0.005308615,0.004488958,0.03542059,0.00434197,0.002245046,0.003821604,0.0012273,0.03788807],"genre_scores_gemma":[0.9521849,0.01529398,0.002448642,0.002940253,0.003262254,0.0001873106,0.001802354,0.0004689103,0.02141144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.801133,"threshold_uncertainty_score":0.9998351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06258869809233585,"score_gpt":0.2238165040461941,"score_spread":0.1612278059538583,"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."}}