{"id":"W2167767864","doi":"","title":"Historical Simulations - Motivational, Ethical and Legal Issues","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Range (aeronautics); Point (geometry); Computer science; Engineering ethics; Management science; Political science; Engineering; Mathematics","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002400512,0.00007714751,0.0001202468,0.00006784015,0.001423967,0.0002342651,0.0001278757,0.0002777556,0.00005741684],"category_scores_gemma":[0.0008901402,0.00007424741,0.00005939999,0.0001563448,0.0001826282,0.0003600548,0.00001610024,0.002649446,0.000003529939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698112,"about_ca_system_score_gemma":0.002442679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01186526,"about_ca_topic_score_gemma":0.02419762,"domain_scores_codex":[0.9979041,0.000204505,0.0002003553,0.0001134192,0.0004933504,0.001084246],"domain_scores_gemma":[0.9992739,0.0002610663,0.00008520533,0.00004820068,0.000249004,0.00008261824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004376719,0.00002995133,0.001698646,6.832709e-7,0.00001377914,0.000001459794,0.0005929393,0.00003676696,0.00004275454,0.9944407,0.002639044,0.0004988721],"study_design_scores_gemma":[0.0001443771,0.00005191936,0.001483239,0.000003921008,0.00000982338,0.00001011006,0.0009531193,0.00001857265,0.000002484985,0.7963124,0.2009259,0.0000841194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4751567,0.005255881,0.001913322,0.4884976,0.0004716594,0.0001470506,0.000002607856,0.00007046471,0.02848473],"genre_scores_gemma":[0.9845165,0.001706545,0.0001233126,0.0005431517,0.001595858,6.473325e-7,0.000002147849,0.000008582092,0.01150325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5093598,"threshold_uncertainty_score":0.999876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260956930037719,"score_gpt":0.3509291478708014,"score_spread":0.3283195785704242,"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."}}