{"id":"W3123573626","doi":"10.3386/w24690","title":"Economic Policy for Artificial Intelligence","year":2018,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Alfred P. Sloan Foundation","keywords":"Computer science; Artificial intelligence","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":[0.004988323,0.0008707519,0.0008109203,0.001344281,0.00219623,0.007751758,0.0008204952,0.007974331,0.0250754],"category_scores_gemma":[0.0120623,0.0002542361,0.0004901439,0.00117103,0.007245879,0.007478273,0.002793708,0.009654921,0.004860157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005258423,"about_ca_system_score_gemma":0.003848051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002512176,"about_ca_topic_score_gemma":0.001145039,"domain_scores_codex":[0.9976678,0.001026003,0.00008472822,0.000455322,0.0005504875,0.0002155564],"domain_scores_gemma":[0.996592,0.001789447,0.0002635041,0.0005764941,0.0005550422,0.0002235073],"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":[0.000006845569,0.00001080089,0.00005336663,0.00002462686,0.000004692921,0.00001119775,0.00003031927,0.0002446097,0.00002716838,0.9759538,0.01755705,0.006075481],"study_design_scores_gemma":[0.000008329538,0.00000929626,0.0001120861,0.0001633425,0.000003342931,0.00001586958,0.0000404454,0.0003580593,0.00004571505,0.8623031,0.1369346,0.000005812305],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003732963,0.0360404,0.01873008,0.4247301,0.007465918,0.00007310278,0.0004367113,0.0002019607,0.5085887],"genre_scores_gemma":[0.5397871,0.06269649,0.01913892,0.1368154,0.02355724,0.0006633291,0.0007306908,0.000402633,0.2162083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0250754,"threshold_uncertainty_score":0.08388561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4743009644195035,"score_gpt":0.4942639123128987,"score_spread":0.0199629478933952,"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."}}