{"id":"W2124525867","doi":"10.1111/capa.12093","title":"The rights and wrongs of robotics: Ethics and robots in public organizations","year":2014,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Robotics; Robot; Accountability; Artificial intelligence; Government (linguistics); Engineering ethics; Applied ethics; Field (mathematics); Public policy; Information ethics; Political science; Public relations; Sociology; Business; Computer science; Law; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002275282,0.00006065669,0.00008517733,0.0001028012,0.001673157,0.0006075659,0.0001360723,0.0002408543,0.00001603183],"category_scores_gemma":[0.007420018,0.00005413216,0.000009354784,0.000407052,0.0006316285,0.0004692569,0.00001221242,0.0003117787,0.000001214907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009791918,"about_ca_system_score_gemma":0.00345672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0424179,"about_ca_topic_score_gemma":0.9796246,"domain_scores_codex":[0.9988901,0.00034138,0.0001739806,0.0001206405,0.0002016696,0.0002722469],"domain_scores_gemma":[0.9982242,0.0006381345,0.00007798992,0.0001038463,0.0005106363,0.0004452237],"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":[3.838515e-7,0.00000564842,0.003106389,0.000003518518,0.000003305041,4.066126e-7,0.003744297,5.786915e-7,0.000002195496,0.9920744,0.0002688295,0.0007899932],"study_design_scores_gemma":[0.0004421723,0.0001941979,0.03760599,0.00003614468,0.00001947724,0.000003989119,0.01121413,0.0007664516,0.00002131361,0.3721398,0.5771602,0.0003960777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1014656,0.0001073149,0.0004856212,0.8615581,0.0002416552,0.0003104598,0.00001459809,0.00002412555,0.03579256],"genre_scores_gemma":[0.998649,0.00009761335,0.0001514744,0.0005881988,0.00008402941,0.000002838682,0.00001135307,0.000005477653,0.0004100136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9372067,"threshold_uncertainty_score":0.9996265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04174631868980855,"score_gpt":0.3233949023466076,"score_spread":0.281648583656799,"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."}}