{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"8c972521cf8d","filters":{"venue":"Innovation Policy and the Economy"}},"results":[{"id":"W2805075849","doi":"10.1086/699935","title":"Economic Policy for Artificial Intelligence","year":2018,"lang":"en","type":"article","venue":"Innovation Policy and the Economy","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":259,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Salient; Subsidy; Intellectual property; Economics; Competition (biology); Technological change; Competition policy; Industrial organization; Microeconomics; Artificial intelligence; Monopoly; Computer science; Political science; Law; Macroeconomics; Market economy","authors":[{"name":"Ajay Agrawal","is_ca":true},{"name":"Joshua S. Gans","is_ca":true},{"name":"Avi Goldfarb","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06359014329482407,"gpt":0.3056660909284174,"spread":0.2420759476335933,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00542969,0.0007870653,0.0007488106,0.001309462,0.002125847,0.006904652,0.0008558285,0.00835372,0.01774464],"category_scores_gemma":[0.01166847,0.0002398135,0.000543964,0.001023907,0.007634464,0.00685718,0.002712091,0.008881357,0.003031302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005884454,"about_ca_system_score_gemma":0.004928718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003212825,"about_ca_topic_score_gemma":0.001577203,"domain_scores_codex":[0.9974866,0.001050029,0.00008979008,0.0004851606,0.0006048073,0.0002836644],"domain_scores_gemma":[0.9964961,0.001802459,0.000298742,0.0005268061,0.0006118289,0.0002640946],"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":[0.000007590344,0.00001150722,0.00005961665,0.00002466078,0.000005055097,0.00001272237,0.00002746898,0.0003247612,0.00003306224,0.9823616,0.01220374,0.004928274],"study_design_scores_gemma":[0.00001110245,0.00001253622,0.0001441766,0.0001741333,0.000004052845,0.00001965821,0.0000488444,0.00046022,0.00005362774,0.8596203,0.1394437,0.000007674523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004758807,0.03299664,0.01842535,0.4059244,0.005747327,0.0000866952,0.0003455781,0.0001468196,0.5315683],"genre_scores_gemma":[0.5846184,0.04805955,0.0149501,0.1490991,0.01700153,0.0006845759,0.0005126782,0.00027133,0.1848028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01774464,"threshold_uncertainty_score":0.0593617,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}