{"id":"W1482650091","doi":"10.3386/w21164","title":"How You Export Matters: Export Mode, Learning and Productivity in China","year":2015,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Tsinghua University; National Natural Science Foundation of China; Yale University","keywords":"China; Productivity; Mode (computer interface); Business; International trade; Industrial organization; International economics; Agricultural economics; Economics; Computer science; Geography; Economic growth","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":[0.001311001,0.0003500337,0.0005020392,0.0006273313,0.0006021578,0.001743002,0.000507014,0.0007309219,0.003716684],"category_scores_gemma":[0.002509762,0.0002108028,0.0006656414,0.0009075211,0.0009842362,0.00114718,0.0009266642,0.0007784027,0.0002753802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693468,"about_ca_system_score_gemma":0.001298604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07131122,"about_ca_topic_score_gemma":0.05713891,"domain_scores_codex":[0.9996691,0.00008376413,0.00001984607,0.0000704402,0.00003922196,0.0001176104],"domain_scores_gemma":[0.997202,0.001090039,0.0009606688,0.0001159171,0.0001540827,0.0004773536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001951893,0.0001952235,0.9680549,0.00003704206,0.0001252074,0.0005130603,0.0006214128,0.01624438,0.0006326503,0.004329543,0.0008722136,0.008179085],"study_design_scores_gemma":[0.0001003532,0.0002044989,0.8936788,0.00004828185,0.0002091007,0.0001354081,0.001613057,0.09313928,0.001210742,0.007195981,0.002395622,0.00006892969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978528,0.0001395705,0.0002874968,0.0005398035,0.000003432316,0.000006415542,0.00019563,0.000005412793,0.0009694157],"genre_scores_gemma":[0.9983374,0.0001167497,0.00006557603,0.00004014091,0.000006740052,0.000003865897,0.0001860292,0.000002357224,0.001241035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07131122,"threshold_uncertainty_score":0.1417923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.406017054799153,"score_gpt":0.432937597113091,"score_spread":0.02692054231393803,"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."}}