{"id":"W4286744221","doi":"10.2139/ssrn.4168512","title":"An Sp-Off-Rp Survey to Understand the Impacts of Autonomous Vehicles on Travel Mode Choices","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto; Carleton University","funders":"","keywords":"Mode choice; Mode (computer interface); Transport engineering; Business; Computer science; Geography; Engineering; Human–computer interaction; Public transport","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":[0.0008717169,0.0001741037,0.0001714182,0.0009075172,0.00050603,0.0005360186,0.0003761196,0.0005103927,0.004682691],"category_scores_gemma":[0.002794039,0.0001954906,0.0003127625,0.001839337,0.0001781648,0.0009166307,0.0008410817,0.0008994456,0.001845918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004553235,"about_ca_system_score_gemma":0.00109276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03241873,"about_ca_topic_score_gemma":0.04721976,"domain_scores_codex":[0.9993463,0.0002929825,0.00003075384,0.00006467591,0.0001230492,0.0001422448],"domain_scores_gemma":[0.9975089,0.0006390574,0.0005538479,0.0001714818,0.0006749703,0.0004516893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002057938,0.0007040766,0.968825,0.00009381668,0.00005115143,0.0001516855,0.002733814,0.0005288716,0.000752481,0.0004886188,0.00452257,0.02094206],"study_design_scores_gemma":[0.000004952437,0.0003543187,0.9867023,0.00001879171,0.00001056263,0.00006798366,0.006861325,0.0007277709,0.0001208431,0.0001069482,0.005016844,0.000007344132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913152,0.00004134816,0.0004474921,0.0001274769,0.000007588033,0.00006176212,0.003558018,0.000009854929,0.004431218],"genre_scores_gemma":[0.9898421,0.0001288134,0.0008160381,0.0001903886,0.000009447772,0.0002147971,0.004388263,0.0000113353,0.004398706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03241873,"threshold_uncertainty_score":0.06446004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658400570110702,"score_gpt":0.262689235514247,"score_spread":0.24610522981314,"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."}}