{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.02501545,0.0003137104,0.0003316341,0.0007802541,0.00486611,0.008311572,0.001676425,0.004220896,0.009709921],"category_scores_gemma":[0.07310912,0.0003431563,0.0003215015,0.0007626539,0.01890626,0.009142641,0.005616616,0.005021726,0.0009239308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004210605,"about_ca_system_score_gemma":0.004652175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002855753,"about_ca_topic_score_gemma":0.003948911,"domain_scores_codex":[0.9796247,0.01746167,0.0004554467,0.0005156083,0.001512217,0.0004303977],"domain_scores_gemma":[0.9409304,0.04815098,0.002301095,0.003506001,0.002046596,0.003064913],"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":[0.000007642849,0.0000198172,0.0005016783,0.00003065383,0.000003498157,0.00006161155,0.001918852,0.001230251,0.00002688566,0.9831641,0.005407714,0.0076273],"study_design_scores_gemma":[0.00001779697,0.00002754985,0.0005553127,0.0002861126,0.000005766589,0.000254254,0.004614891,0.004089066,0.0001587439,0.8752946,0.1146745,0.00002142151],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0540119,0.005257846,0.06123296,0.4942984,0.001647916,0.000185167,0.0001222898,0.0001729574,0.3830707],"genre_scores_gemma":[0.9458694,0.002641376,0.01774415,0.01474241,0.0006422925,0.0003732696,0.00005280998,0.00007648714,0.01785777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9951339,"threshold_uncertainty_score":0.1322959,"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."}}