{"id":"W3180298117","doi":"10.1007/s10676-021-09605-y","title":"Ethical dilemmas are really important to potential adopters of autonomous vehicles","year":2021,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Harm; Early adopter; Dilemma; Assertion; Premise; Psychological intervention; Empirical research; Ethical dilemma; Risk perception; Perception; Public relations; Business; Sociology; Marketing; Political science; Psychology; Law; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002279474,0.00008052678,0.0001876539,0.0001863814,0.0005971324,0.0001167119,0.0001781348,0.001446608,0.00003261229],"category_scores_gemma":[0.006553837,0.00008345028,0.00004437633,0.000431346,0.0006010177,0.0005202955,0.0001349897,0.001705242,0.000009077002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004208976,"about_ca_system_score_gemma":0.0007613557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005230709,"about_ca_topic_score_gemma":0.0008633462,"domain_scores_codex":[0.9987032,0.0001353152,0.0004259463,0.0001061187,0.0003940469,0.0002353081],"domain_scores_gemma":[0.9982766,0.0002042525,0.0002383187,0.0001534751,0.001006613,0.0001207256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008034987,0.00001379103,0.0006008371,0.00003363751,0.00001523312,0.000005508695,0.02387805,0.000009342178,0.0002854094,0.9639081,0.0004327932,0.01080929],"study_design_scores_gemma":[0.0006861957,0.0003272931,0.008674496,0.0001954032,0.00004145132,0.00001587933,0.1018075,0.000194378,0.005430222,0.3271333,0.5549701,0.0005237903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3261369,0.0001550144,0.002014826,0.6542575,0.0003974877,0.0002269766,0.00003893701,0.0001912085,0.01658113],"genre_scores_gemma":[0.9878576,0.001322319,0.002289816,0.008398632,0.0000435709,0.000005480066,0.000009331681,0.00000439218,0.00006883189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6617208,"threshold_uncertainty_score":0.9998497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173815390774907,"score_gpt":0.3276610804748714,"score_spread":0.3059229265671223,"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."}}