{"id":"W2986863033","doi":"10.1007/s00146-019-00924-9","title":"The role of experts in the public perception of risk of artificial intelligence","year":2019,"lang":"en","type":"article","venue":"AI & Society","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Risk perception; Perception; Existentialism; Psychology; Quarter (Canadian coin); Artificial intelligence; Computer science; Applied psychology; Social psychology; Political science; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001650274,0.00004355044,0.00008849562,0.00001359449,0.0001427162,0.0000226198,0.0003109119,0.00005011043,0.000247942],"category_scores_gemma":[0.000078146,0.00002670796,0.0001411998,0.0002568381,0.0003320398,0.0001048205,0.00003869014,0.00007788269,0.00001550365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003379479,"about_ca_system_score_gemma":0.00004277433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002480387,"about_ca_topic_score_gemma":0.002168234,"domain_scores_codex":[0.9989663,0.0002393916,0.0002270623,0.00009082857,0.0003465343,0.0001298243],"domain_scores_gemma":[0.9994155,0.0001568669,0.0001378084,0.0001920628,0.00008263839,0.00001517128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000106146,0.0001735385,0.02436517,0.00001057204,0.00002266934,3.013707e-8,0.5410898,0.00003431722,0.0027633,0.1275613,0.00240598,0.3015627],"study_design_scores_gemma":[0.00004045813,0.00003332622,0.03222927,0.000008720133,0.000009327819,3.544657e-8,0.9141673,0.0009424384,0.0001643327,0.01323407,0.03911835,0.00005229563],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918649,0.0001127479,0.0004704576,0.002078387,0.0001279577,0.0002682252,0.000002691118,0.000007635033,0.005067013],"genre_scores_gemma":[0.9973747,0.002244815,0.0001034623,0.0001420463,0.00003901952,0.000008175517,0.000001041316,0.000002547801,0.000084163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3730775,"threshold_uncertainty_score":0.374962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02360730325083543,"score_gpt":0.3147897763469212,"score_spread":0.2911824730960858,"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."}}