{"id":"W1964102704","doi":"10.1007/s10676-012-9290-1","title":"Out of character: on the creation of virtuous machines","year":2012,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Virtue; Virtue ethics; Sociology; Normative ethics; Epistemology; Moral character; Environmental ethics; Character (mathematics); Engineering ethics; Computer science; Philosophy; 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":[],"consensus_categories":[],"category_scores_codex":[0.0007101787,0.0000631942,0.00009369207,0.0002811856,0.0001452295,0.000009727006,0.0001610877,0.0001990638,0.00004272603],"category_scores_gemma":[0.00473841,0.00004397991,0.00001503792,0.0003229697,0.0006948197,0.0004868258,0.000072235,0.0006717939,0.00003330468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007982586,"about_ca_system_score_gemma":0.00002266105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002415929,"about_ca_topic_score_gemma":6.678243e-7,"domain_scores_codex":[0.9991823,0.00006125843,0.000358564,0.00005715976,0.0002301605,0.0001105249],"domain_scores_gemma":[0.9987302,0.0005954304,0.0003425601,0.0001952394,0.0001195903,0.00001691071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005673934,0.00003161976,0.0001672931,0.00003061005,0.000001979665,2.284413e-8,0.001653558,3.829496e-7,0.06844957,0.9215456,0.0000929948,0.008020674],"study_design_scores_gemma":[0.0002066058,0.00021853,0.001708688,0.00004052185,0.000005975332,0.000003453049,0.0003102808,0.0003067675,0.9227659,0.02650259,0.04784419,0.00008652459],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232123,0.00002017734,0.004914425,0.05771129,0.0006656673,0.0003883139,0.00005126446,0.0001175369,0.01291896],"genre_scores_gemma":[0.9957017,0.0001686272,0.00009751059,0.003938544,0.00001879371,0.00001416636,0.000005676975,0.00000302641,0.00005191606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.895043,"threshold_uncertainty_score":0.5672662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06576551165612995,"score_gpt":0.3365263597459452,"score_spread":0.2707608480898153,"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."}}