{"id":"W3213420533","doi":"10.1145/3472307.3484182","title":"What are Social Norms for Low-speed Autonomous Vehicle Navigation in Crowded Environments? An Online Survey","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Software deployment; Cart; Computer science; Variety (cybernetics); Pedestrian; Transport engineering; Human–computer interaction; Computer security; Engineering; Artificial intelligence","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":[0.005209252,0.000143908,0.000266623,0.001176681,0.0008099758,0.001666499,0.000288958,0.0005085618,0.001505695],"category_scores_gemma":[0.0151576,0.0002013637,0.0001907471,0.0007204661,0.00117087,0.001366965,0.0008264123,0.0006757415,0.0002003696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006859707,"about_ca_system_score_gemma":0.0005362784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005040842,"about_ca_topic_score_gemma":0.00561949,"domain_scores_codex":[0.9970021,0.001700844,0.0002839566,0.0002081655,0.0005833154,0.0002216143],"domain_scores_gemma":[0.9771275,0.01102658,0.006441293,0.0006537758,0.002857323,0.00189364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001008525,0.0002407637,0.8811087,0.0002563858,0.0000706151,0.0002309118,0.08876056,0.0001849171,0.0008112675,0.001002621,0.001210603,0.02602171],"study_design_scores_gemma":[0.000009035529,0.0001888469,0.8517648,0.00009163076,0.00001769978,0.0002661659,0.1400274,0.0006631225,0.0001682282,0.0003918435,0.0063715,0.0000397492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972405,0.0001428015,0.0001971899,0.0002778189,0.000008298753,0.00002390808,0.00008476368,0.00000365749,0.002020985],"genre_scores_gemma":[0.9994853,0.0001234342,0.000112087,0.00005476298,0.000006364851,0.00001939235,0.00005114919,0.00000197853,0.0001455799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005209252,"threshold_uncertainty_score":0.02754951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1053854728920835,"score_gpt":0.3982769232936061,"score_spread":0.2928914504015226,"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."}}