{"id":"W3123943089","doi":"","title":"Economic Policy for Artificial Intelligence","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Salient; Subsidy; Economics; Competition (biology); Technological change; Competition policy; Industrial organization; Microeconomics; Public economics; Monopoly; Artificial intelligence; Computer science; Macroeconomics; Market economy","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":[0.005446317,0.000797238,0.0007359788,0.001312405,0.002076195,0.007114005,0.0008787715,0.008485215,0.01843415],"category_scores_gemma":[0.01111325,0.0002308335,0.0004938137,0.0009906694,0.008159876,0.007205335,0.002882594,0.00977832,0.003448556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005930743,"about_ca_system_score_gemma":0.004550574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002864327,"about_ca_topic_score_gemma":0.001464729,"domain_scores_codex":[0.9974412,0.001099063,0.00009375864,0.000496421,0.0005998422,0.0002696298],"domain_scores_gemma":[0.9967614,0.001635853,0.0002602784,0.000523318,0.0005746458,0.0002446022],"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":[0.000007337682,0.00001036535,0.00004713586,0.00002364825,0.000004215377,0.00001059632,0.00002905516,0.0002466219,0.00002867757,0.9803042,0.01410089,0.005187176],"study_design_scores_gemma":[0.0000094272,0.00001300224,0.0001298291,0.0001939328,0.00000351994,0.00001783034,0.00005303941,0.0003929542,0.00005276033,0.8371197,0.1620069,0.000007203367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003626854,0.03787397,0.01474675,0.4436508,0.006862255,0.00006687761,0.0002919761,0.0001459769,0.4927345],"genre_scores_gemma":[0.5311087,0.05450633,0.01430222,0.1807618,0.02050062,0.0006121526,0.0004783327,0.0002790582,0.1974508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01843415,"threshold_uncertainty_score":0.06166834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03244953339664765,"score_gpt":0.2609990737958596,"score_spread":0.228549540399212,"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."}}