{"id":"W3122202260","doi":"10.2139/ssrn.1022616","title":"Profiting with Honor: Cicero's Vision of Leadership","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph-Humber","funders":"","keywords":"Honor; Cicero; Artificial intelligence; Art; Political science; Psychology; Computer science; Literature; Internet privacy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0102588,0.0008646334,0.0007999323,0.002286926,0.01927635,0.026076,0.002431207,0.01169844,0.005724469],"category_scores_gemma":[0.01325941,0.0003611327,0.0005346549,0.001784508,0.05039638,0.01117061,0.01143378,0.01841751,0.00106679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01317675,"about_ca_system_score_gemma":0.02883488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02106875,"about_ca_topic_score_gemma":0.03688532,"domain_scores_codex":[0.9917746,0.002938655,0.0001559501,0.0008372611,0.002395471,0.001898099],"domain_scores_gemma":[0.9925725,0.001530418,0.0005106494,0.0005906052,0.001149227,0.003646403],"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":[0.000009342544,0.0000156571,0.00007998074,0.00001182403,0.000001729493,0.00002978251,0.002346509,0.00007265196,0.00001702067,0.9672856,0.02401146,0.006118486],"study_design_scores_gemma":[0.00002639332,0.00002719128,0.0003165154,0.0001612957,0.000006635915,0.00008386236,0.00386824,0.000296941,0.00007497749,0.6905065,0.3046056,0.00002595382],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008469894,0.005605692,0.008242057,0.3331174,0.004576785,0.00005801301,0.0000192147,0.00005521973,0.6398557],"genre_scores_gemma":[0.712944,0.00349469,0.005047934,0.06533407,0.003254671,0.0002237108,0.00002510389,0.00009442522,0.2095814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.026076,"threshold_uncertainty_score":0.09560442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1711407720567413,"score_gpt":0.41041399797526,"score_spread":0.2392732259185187,"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."}}