{"id":"W2901509601","doi":"10.1016/j.trd.2018.10.009","title":"Latent demand for zero-emissions vehicles in Canada (Part 1): Insights from a design space exercise","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"SFU Community Trust Endowment Fund; Social Sciences and Humanities Research Council of Canada; Simon Fraser University; Times Higher Education","keywords":"Drivetrain; Fuel efficiency; Space (punctuation); Battery electric vehicle; Sample (material); Battery (electricity); Automotive engineering; Computer science; Environmental economics; Transport engineering; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001094439,0.0004396803,0.0008049971,0.0005392673,0.001329543,0.002767026,0.001650038,0.0008366961,0.008279761],"category_scores_gemma":[0.002860764,0.0004799579,0.001136526,0.001699331,0.0009568376,0.001092503,0.0007860179,0.001295249,0.0004062457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03349165,"about_ca_system_score_gemma":0.03409311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9905013,"about_ca_topic_score_gemma":0.9938852,"domain_scores_codex":[0.9993561,0.00009718753,0.00002682189,0.00009899442,0.0001555881,0.0002653006],"domain_scores_gemma":[0.9976854,0.001180423,0.0001890434,0.0001199632,0.0006121526,0.0002130603],"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":[0.001692223,0.001057258,0.4083161,0.0007074459,0.0004602518,0.0008613977,0.005261896,0.3255864,0.003946755,0.1844003,0.02198254,0.04572742],"study_design_scores_gemma":[0.0004806033,0.0003836688,0.4892235,0.0003061887,0.0004364857,0.0001132681,0.01840814,0.4232932,0.003085482,0.02912874,0.03481201,0.0003286447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797096,0.0004691653,0.002615883,0.001282791,0.00000897926,0.0000727986,0.009197259,0.00004797562,0.00659552],"genre_scores_gemma":[0.9883984,0.0003187961,0.001179742,0.00007141986,0.000004729638,0.00002945994,0.003723718,0.00001492378,0.006258885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03349165,"threshold_uncertainty_score":0.243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02539443769647457,"score_gpt":0.2301417411139683,"score_spread":0.2047473034174937,"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."}}