{"id":"W7133051980","doi":"","title":"Autonomous Vehicles: How they can Transform Perceived Travel Times and Toronto’s Transportation Network in the Process","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hudbay Minerals (Canada)","funders":"","keywords":"Process (computing); Perception; Preference; Travel time; Travel survey; Travel behavior","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008485738,0.000171142,0.00009013992,0.0005025633,0.001927056,0.0038802,0.0005209481,0.0003652009,0.004731433],"category_scores_gemma":[0.003524594,0.000119791,0.000178368,0.0009154825,0.001758719,0.001369037,0.001527291,0.0004668245,0.0002526204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02047149,"about_ca_system_score_gemma":0.009266437,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7750592,"about_ca_topic_score_gemma":0.8567192,"domain_scores_codex":[0.9994127,0.0002437674,0.00001567397,0.00005760506,0.0001417751,0.000128529],"domain_scores_gemma":[0.9984761,0.0004015279,0.0002646004,0.00007221841,0.0003760965,0.0004094151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002888331,0.0002380296,0.3564627,0.0002119689,0.00007237268,0.0006858727,0.5150388,0.002164498,0.002462488,0.05491052,0.008476909,0.058987],"study_design_scores_gemma":[0.00002544031,0.0001313154,0.3858582,0.0001366819,0.00005783172,0.00008278586,0.5389914,0.003666943,0.0005904075,0.003428763,0.06698414,0.00004607186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699784,0.0001418021,0.0005230597,0.00124383,0.00001668274,0.00002745746,0.0001246078,0.000007771449,0.0279364],"genre_scores_gemma":[0.9965933,0.0001035998,0.0002223289,0.00002944932,0.00000216333,0.000007056609,0.00003591624,0.000004050747,0.003002182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2249408,"threshold_uncertainty_score":0.4525311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352273234749055,"score_gpt":0.2792253124896069,"score_spread":0.2657025801421163,"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."}}