{"id":"W2184438353","doi":"10.29173/irie14","title":"Artificial moral agents: an intercultural perspective","year":2007,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Epistemology; Limiting; Point (geometry); Subject (documents); Sociology; Social psychology; Psychology; Computer science; Philosophy; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01029202,0.00007377769,0.0001199183,0.00006060261,0.0004022316,0.0001351957,0.0006165068,0.0001337853,0.0003143883],"category_scores_gemma":[0.01167796,0.00005205035,0.0001026166,0.0001911526,0.0004080417,0.002042418,0.00005293444,0.0006090502,0.0000601154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002501236,"about_ca_system_score_gemma":0.0003553096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002323934,"about_ca_topic_score_gemma":0.001739379,"domain_scores_codex":[0.9979405,0.0001842763,0.000519206,0.00005757898,0.001143001,0.0001554021],"domain_scores_gemma":[0.9958586,0.0005037324,0.0003681785,0.00012266,0.003068835,0.00007802741],"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":[0.00001162861,0.00001733542,0.00001846402,0.00007396763,0.00002007054,2.137331e-7,0.09609066,0.000003425512,0.000006867275,0.89463,0.001338102,0.007789233],"study_design_scores_gemma":[0.0001823514,0.0001205328,0.002575966,0.002679281,0.00005833492,0.000004688618,0.25579,0.0001914109,0.000327973,0.3245826,0.4131498,0.0003370901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01821402,0.001332223,0.004156227,0.3825153,0.002202499,0.000742736,0.00004789678,0.00008754287,0.5907015],"genre_scores_gemma":[0.9486095,0.01355651,0.0003551595,0.03671959,0.0005179796,0.000004835388,0.00004893951,0.000004853531,0.0001826282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9303955,"threshold_uncertainty_score":0.9966471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1562763400042645,"score_gpt":0.4859692592350882,"score_spread":0.3296929192308237,"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."}}