{"id":"W2980018282","doi":"10.1111/ropr.12332","title":"Regulating Autonomy: An Assessment of Policy Language for Highly Automated Vehicles","year":2019,"lang":"en","type":"article","venue":"Review of Policy Research","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Ohio Sea Grant College, Ohio State University; U.S. Department of Transportation","keywords":"Enthusiasm; Autonomy; Context (archaeology); Intervention (counseling); Politics; Automation; Public relations; Public policy; Moral responsibility; Business; Political science; Engineering; Psychology; Law; Social psychology","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":[0.08397308,0.0002987837,0.000570351,0.007268742,0.00403416,0.01430462,0.002029807,0.002633779,0.003527078],"category_scores_gemma":[0.1885563,0.0004792657,0.0004833406,0.008225129,0.01123901,0.009734513,0.003905295,0.003852892,0.0003389505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02209808,"about_ca_system_score_gemma":0.02101635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01621731,"about_ca_topic_score_gemma":0.01348021,"domain_scores_codex":[0.9363229,0.03916876,0.004560214,0.002269137,0.0158037,0.001875264],"domain_scores_gemma":[0.5562729,0.359245,0.03264382,0.006942269,0.04278122,0.002114702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002445836,0.0001997912,0.03598303,0.002768789,0.00009063039,0.0004365871,0.1314842,0.002692037,0.00114374,0.7528192,0.007625126,0.06451233],"study_design_scores_gemma":[0.00009919822,0.0003571203,0.09525221,0.01501195,0.0002611841,0.0003985431,0.3712315,0.01158489,0.004216069,0.2310814,0.2702486,0.0002574503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6660208,0.0198095,0.02105261,0.09076181,0.0005474424,0.0007747205,0.001250595,0.00008864939,0.1996938],"genre_scores_gemma":[0.9923036,0.002012983,0.003053589,0.001345493,0.00007782264,0.0002751905,0.0001950641,0.00002651056,0.0007097062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08397308,"threshold_uncertainty_score":0.4440974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1544016044201505,"score_gpt":0.6346340662197679,"score_spread":0.4802324617996174,"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."}}