{"id":"W4377832495","doi":"10.1257/pandp.20231074","title":"Measuring the Share of Imports in Final Consumption","year":2023,"lang":"en","type":"article","venue":"AEA Papers and Proceedings","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Consumption (sociology); Database transaction; Homogeneity (statistics); Economics; Business; Econometrics; Commerce; Database; Statistics; Computer science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003491773,0.00006758126,0.0001567784,0.00008844482,0.00005117681,0.00003289002,0.00008316461,0.00004764889,0.0000724006],"category_scores_gemma":[0.0000321504,0.00006298702,0.00003520699,0.0001539826,0.00003812687,0.0001202109,0.00003584543,0.00007094794,0.0000591345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001794212,"about_ca_system_score_gemma":0.000003871542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007956096,"about_ca_topic_score_gemma":0.00001934198,"domain_scores_codex":[0.999376,8.457453e-7,0.0002733317,0.0001734624,0.00001653304,0.0001598196],"domain_scores_gemma":[0.9997845,0.00001619213,0.0001173416,0.00004691598,0.000006495701,0.00002855534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008936612,0.000007470705,0.9362295,0.0000639655,0.00001009956,0.000001080914,0.0007151066,0.000006823102,0.00009577132,0.06149997,0.0006177698,0.0007434596],"study_design_scores_gemma":[0.0003167989,0.00002638968,0.9749395,0.00003321756,0.000002688771,0.000006798607,0.0003692383,0.0006447123,0.00009125098,0.009397408,0.01405641,0.0001155342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776279,0.0006088959,2.519287e-7,0.0004824132,0.00006940062,0.00008404694,0.00002568779,0.000016248,0.0210852],"genre_scores_gemma":[0.9985688,0.00112676,0.00001589079,0.0001025344,0.00002413872,0.00001025527,0.000004290502,0.000006670793,0.0001406572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05210256,"threshold_uncertainty_score":0.2568536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1331017755392419,"score_gpt":0.2192020734892794,"score_spread":0.08610029795003746,"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."}}