{"id":"W2766171574","doi":"10.1111/roie.12334","title":"Productivity growth from an international trade perspective","year":2017,"lang":"en","type":"article","venue":"Review of International Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; Simon Fraser University; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Productivity; Economics; Total factor productivity; Industrial organization; Technological change; Multifactor productivity; International trade; Perspective (graphical); Economic geography; Macroeconomics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009830367,0.001037424,0.0004624576,0.006337859,0.0005006781,0.004050033,0.0004840633,0.001140071,0.005217425],"category_scores_gemma":[0.001788838,0.0001644471,0.0006634893,0.004912778,0.002045175,0.003369281,0.001536216,0.001860982,0.0008407139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002605896,"about_ca_system_score_gemma":0.0006270996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002118519,"about_ca_topic_score_gemma":0.0008743452,"domain_scores_codex":[0.9994493,0.0001571534,0.00002639995,0.000116183,0.0001663639,0.00008458587],"domain_scores_gemma":[0.9987703,0.0004300291,0.0002719266,0.00009775335,0.0003519824,0.00007797919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002560898,0.00002359574,0.002969575,0.0001705907,0.00006028406,0.0002121159,0.0002531638,0.01279286,0.0007661198,0.9392065,0.005444576,0.03807479],"study_design_scores_gemma":[0.00001402843,0.00006107273,0.008824045,0.0004367107,0.00005777074,0.0002787478,0.0006359996,0.01982723,0.0007940784,0.8777364,0.09129972,0.00003410593],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1198429,0.08971405,0.1830565,0.03650917,0.001570429,0.0000676096,0.00264214,0.0004082608,0.5661891],"genre_scores_gemma":[0.9414696,0.03278557,0.00747823,0.0006511633,0.001914777,0.00008186394,0.0005786786,0.0000457126,0.01499446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006337859,"threshold_uncertainty_score":0.01890719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06204876288764701,"score_gpt":0.2845010041202355,"score_spread":0.2224522412325885,"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."}}