{"id":"W2783850670","doi":"10.3386/w24254","title":"AI and International Trade","year":2018,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institute for Advanced Research","keywords":"Competition (biology); Context (archaeology); International trade; Affect (linguistics); Industrial organization; Economics; Business; Political science; Sociology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00133248,0.00027607,0.0003539703,0.001776258,0.002424836,0.006815297,0.0004367062,0.001972663,0.02444251],"category_scores_gemma":[0.00344708,0.0001332705,0.0004237864,0.002935354,0.005331184,0.006344769,0.002621545,0.001943862,0.001580438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002601487,"about_ca_system_score_gemma":0.001300722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001691204,"about_ca_topic_score_gemma":0.0013044,"domain_scores_codex":[0.9989028,0.0004043946,0.00005011371,0.0002353473,0.0002678563,0.0001395653],"domain_scores_gemma":[0.9977317,0.001164619,0.0003354152,0.0003615925,0.0002363714,0.0001703893],"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":[0.000003467266,0.000004495872,0.000224651,0.00001255064,0.000003762752,0.00001638195,0.00008846425,0.0003560772,0.00001891858,0.9913823,0.001279394,0.006609558],"study_design_scores_gemma":[0.000003025523,0.000006012956,0.0005412835,0.00007592204,0.00000267044,0.00005135261,0.0002433364,0.0004500096,0.00003326371,0.9271432,0.07144548,0.000004430358],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02380819,0.02294929,0.02048305,0.03448609,0.0006958646,0.00002541418,0.0002167959,0.00006282689,0.8972724],"genre_scores_gemma":[0.908804,0.0241708,0.00647115,0.004317547,0.001685921,0.0001091946,0.0002377437,0.00006271646,0.05414088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02444251,"threshold_uncertainty_score":0.08176827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.258611534749662,"score_gpt":0.4405016091301211,"score_spread":0.1818900743804591,"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."}}