{"id":"W2066555278","doi":"10.1016/j.ecolecon.2008.05.007","title":"The ‘neighbor effect’: Simulating dynamics in consumer preferences for new vehicle technologies","year":2008,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":287,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"U.S. Department of Energy","keywords":"Discrete choice; Scrutiny; Market penetration; Preference; Alternative fuel vehicle; Consumer behaviour; Theory of planned behavior; Marketing; Economics; Driving range; Electric vehicle; Environmental economics; Business; Microeconomics; Econometrics; Engineering; Control (management)","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":[0.0009560247,0.0004240531,0.0007923382,0.0006420277,0.0007026574,0.001072608,0.001744843,0.002310522,0.006940183],"category_scores_gemma":[0.004760189,0.0006134906,0.001193575,0.0009209505,0.0009328857,0.002159728,0.0009918007,0.001787381,0.0002598854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197654,"about_ca_system_score_gemma":0.0007279093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07046692,"about_ca_topic_score_gemma":0.05468651,"domain_scores_codex":[0.9997135,0.0001500905,0.000008775661,0.00004572039,0.00002219653,0.00005971701],"domain_scores_gemma":[0.9976479,0.001798286,0.0001001011,0.0001313669,0.0001211969,0.0002011176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001147934,0.0001371106,0.004180615,0.00001998586,0.00005614782,0.00005474201,0.0001190617,0.9821414,0.0002613671,0.01028698,0.0006834929,0.001944402],"study_design_scores_gemma":[0.00003512183,0.00002217135,0.0005147637,0.000001856345,0.000009801402,0.000004376457,0.00003469656,0.9976801,0.00006410099,0.001450065,0.0001754312,0.000007479032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719579,0.0001094875,0.01905607,0.0005616498,0.00009267827,0.00003074538,0.0003373071,0.00008317957,0.007770943],"genre_scores_gemma":[0.9924407,0.00005855818,0.005440122,0.000100355,0.0000153251,0.00003081488,0.0001719796,0.00002973448,0.00171238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07046692,"threshold_uncertainty_score":0.1401135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919269149006924,"score_gpt":0.2299593888287355,"score_spread":0.2107666973386663,"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."}}