{"id":"W7105754336","doi":"10.17863/cam.99026.3","title":"Markets and Markups: A New Empirical Framework and Evidence on Exporters from China","year":2018,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Markup language; China; Quarter (Canadian coin); Exchange rate; Product differentiation; Product (mathematics); Product market; Empirical evidence; Chinese market","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001293518,0.0003125112,0.0003272615,0.003146497,0.0007871988,0.001170678,0.0006278511,0.0003907564,0.003844654],"category_scores_gemma":[0.003982353,0.0001446337,0.0005321159,0.004332574,0.001244466,0.001660156,0.001434234,0.0005349919,0.0002857083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048862,"about_ca_system_score_gemma":0.0008395815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0633663,"about_ca_topic_score_gemma":0.06802411,"domain_scores_codex":[0.9995821,0.0001031568,0.00004227704,0.0001105365,0.0000727452,0.00008922964],"domain_scores_gemma":[0.9959155,0.00123733,0.001845173,0.0003014844,0.0003795301,0.0003210295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004446491,0.0000513504,0.9819749,0.00005984474,0.0001002904,0.0004448092,0.001577921,0.001107386,0.0003064374,0.00390312,0.0006038038,0.009825709],"study_design_scores_gemma":[0.0000148304,0.00004434468,0.987837,0.00003875965,0.0000951582,0.0001236256,0.001730567,0.005395397,0.0003585674,0.001581782,0.00275533,0.0000246685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949621,0.0005658967,0.0005060742,0.0002453932,0.000004908193,0.00001350031,0.0005624822,0.000008824812,0.003130938],"genre_scores_gemma":[0.9986338,0.0002144917,0.0001958159,0.00002680833,0.00001445214,0.000006832359,0.0004884004,0.000002737377,0.0004168238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0633663,"threshold_uncertainty_score":0.1259949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06579115035387705,"score_gpt":0.222412652574651,"score_spread":0.156621502220774,"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."}}