{"id":"W3097965227","doi":"10.3386/w25120","title":"Trade and Domestic Production Networks","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Revenue; Production (economics); Business; International trade; International economics; Economics; Monetary economics; Finance; Microeconomics","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":[0.0008646597,0.0004153912,0.0005899835,0.003902454,0.0005329263,0.002222824,0.0004910706,0.0004107463,0.01016377],"category_scores_gemma":[0.007863173,0.0003028567,0.0004780099,0.01254288,0.0006045953,0.001150959,0.0007287282,0.0005967075,0.001449358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002623244,"about_ca_system_score_gemma":0.0008984606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1211341,"about_ca_topic_score_gemma":0.07889142,"domain_scores_codex":[0.9988871,0.0004177371,0.00005345683,0.0002470911,0.000207002,0.0001876034],"domain_scores_gemma":[0.9936428,0.002482811,0.002502499,0.0004951414,0.000587796,0.0002889172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003719234,0.0002259556,0.6288575,0.0004941386,0.0006730643,0.0005226271,0.002365177,0.2088339,0.0006340428,0.05600605,0.02732091,0.07369476],"study_design_scores_gemma":[0.00008386815,0.000114257,0.7333161,0.0002970276,0.00019388,0.0005774465,0.002706016,0.08897991,0.001175131,0.02648619,0.1459916,0.00007851606],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8634986,0.00423685,0.01494823,0.001098233,0.00004265428,0.00006172486,0.05988526,0.0003304601,0.05589806],"genre_scores_gemma":[0.9659543,0.001368267,0.003322416,0.0000500519,0.00002782951,0.00005598741,0.02392665,0.00005508031,0.005239318],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1211341,"threshold_uncertainty_score":0.2408581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4529962311581322,"score_gpt":0.4519950757053787,"score_spread":0.001001155452753477,"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."}}