{"id":"W4281757260","doi":"10.1093/ereh/heac005","title":"Smooth sailing: market integration, agglomeration, and productivity growth in interwar Brazil","year":2022,"lang":"en","type":"article","venue":"European Review of Economic History","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Economies of agglomeration; Productivity; Economics; Interwar period; Globalization; Capital (architecture); International trade; International economics; Economic geography; Economy; Macroeconomics; Market economy; Economic growth; World War II; Geography","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":[0.001090902,0.0003162557,0.0003392533,0.001875913,0.0005196901,0.00149422,0.0005171524,0.0003077706,0.002896125],"category_scores_gemma":[0.00600962,0.0001553055,0.0004960892,0.004364308,0.0005470549,0.001095746,0.001542321,0.0006069822,0.0004200415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151106,"about_ca_system_score_gemma":0.0007705964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1255354,"about_ca_topic_score_gemma":0.1123011,"domain_scores_codex":[0.9996738,0.00008417389,0.00002306996,0.00007257731,0.00006107509,0.00008518414],"domain_scores_gemma":[0.9969887,0.0005806147,0.001247153,0.0002664621,0.0006104482,0.0003066802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008113652,0.00003962508,0.9669151,0.000122832,0.0002635717,0.000218484,0.001685782,0.002923632,0.000200385,0.00450793,0.006569211,0.01647243],"study_design_scores_gemma":[0.00001083511,0.00002067342,0.9825019,0.0000811939,0.00006808979,0.00005023586,0.002350854,0.003768617,0.000130677,0.001987827,0.009018996,0.00001001959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979926,0.003075263,0.0009439209,0.001989641,0.00003099503,0.0000168987,0.007616957,0.00004039451,0.006359926],"genre_scores_gemma":[0.9956849,0.000864043,0.0001473093,0.00003846185,0.00002222393,0.000009785756,0.002621095,0.000009243504,0.0006029296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1255354,"threshold_uncertainty_score":0.2496094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03767365234836877,"score_gpt":0.2091053705289291,"score_spread":0.1714317181805603,"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."}}