{"id":"W4281966321","doi":"10.1007/978-3-031-18158-0_37","title":"Investigating End-User Acceptance of Last-Mile Delivery by Autonomous Vehicles in the United States","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Mile; Perception; Last mile (transportation); Technology acceptance model; Computer science; Structural equation modeling; Partial least squares regression; Gauge (firearms); Applied psychology; Psychology; Human–computer interaction; Usability; Geography; Machine learning","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001934162,0.0001251022,0.0001685579,0.0004795703,0.00027411,0.0009115796,0.000306117,0.00028569,0.001876597],"category_scores_gemma":[0.006487845,0.00007433112,0.0001757429,0.0003674648,0.0002141749,0.0004904816,0.0004403785,0.0003891879,0.000261895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000366649,"about_ca_system_score_gemma":0.0002715872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00583832,"about_ca_topic_score_gemma":0.005887091,"domain_scores_codex":[0.998984,0.0005404783,0.00004498498,0.00005680921,0.0002957228,0.00007795802],"domain_scores_gemma":[0.9915769,0.004750752,0.001292379,0.0001874278,0.001699482,0.0004931224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001866732,0.0003568036,0.9398055,0.0000917829,0.00004496464,0.0002330579,0.01486536,0.0003949347,0.00203892,0.0002583485,0.0004541136,0.04126954],"study_design_scores_gemma":[0.000005256115,0.0008051196,0.9548541,0.00006046161,0.0000223233,0.000166803,0.03877253,0.00212905,0.0008897875,0.00007592364,0.002201333,0.00001741504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986092,0.00003385741,0.0001481142,0.0000483033,0.000002071993,0.000007699785,0.00002110462,0.00000313462,0.001126641],"genre_scores_gemma":[0.9994209,0.00003840215,0.0001233172,0.00001765072,0.000001563095,0.000008519683,0.00003019176,0.000001125218,0.0003585399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00583832,"threshold_uncertainty_score":0.01160872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389897977597306,"score_gpt":0.2208328250090519,"score_spread":0.2069338452330788,"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."}}