{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001260099,0.0001476567,0.0002331083,0.0006993136,0.00008148169,0.00096684,0.0005211492,0.0001909048,0.0005176857],"category_scores_gemma":[0.0001705471,0.0001543231,0.00008758547,0.00005593158,0.0002493568,0.001844856,0.001146971,0.0004037228,0.0003148113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000215939,"about_ca_system_score_gemma":0.0001735963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003401018,"about_ca_topic_score_gemma":0.00008894307,"domain_scores_codex":[0.9986835,0.000002040104,0.0004037881,0.0003975522,0.0002832495,0.0002299437],"domain_scores_gemma":[0.9993092,0.00009566161,0.0002095797,0.0001681598,0.0001986728,0.0000186953],"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":[0.00004592788,0.00004272232,0.001319873,0.0001180895,0.00009208316,6.175751e-7,0.00001127175,0.0003731678,0.000007864494,0.9357501,0.05900743,0.003230863],"study_design_scores_gemma":[0.0002552088,0.000007733863,0.001192754,0.00004413315,0.000004752342,0.000001423199,0.00003976919,0.02139935,0.0000120311,0.9516693,0.02522601,0.0001474859],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.232065,0.00007102644,0.000008554435,0.007278983,0.001254601,0.0003272121,0.00004721343,0.00002811851,0.7589193],"genre_scores_gemma":[0.9950963,0.00004889999,0.00008665319,0.0005955069,0.00324716,0.00002449484,0.0004303396,0.00002325094,0.0004474087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7630313,"threshold_uncertainty_score":0.932326,"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."}}