{"id":"W3185054805","doi":"10.1111/iere.12620","title":"NO CREDIT, NO GAIN: TRADE LIBERALIZATION DYNAMICS, PRODUCTION INPUTS, AND FINANCIAL DEVELOPMENT","year":2022,"lang":"en","type":"article","venue":"International Economic Review","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Collateral; Free trade; Tariff; General equilibrium theory; Welfare; Production (economics); International economics; Monetary economics; Aggregate (composite); Capital (architecture); Financial market; Macroeconomics; Finance; Market economy","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":[0.0009411357,0.0003074785,0.0005709406,0.0006903211,0.0004166841,0.00297323,0.0002999836,0.0006856837,0.01000679],"category_scores_gemma":[0.003632587,0.0001492001,0.0003433378,0.0009624431,0.001245903,0.001561462,0.0005996544,0.000823159,0.0002471068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003019921,"about_ca_system_score_gemma":0.0009222571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02540503,"about_ca_topic_score_gemma":0.02498553,"domain_scores_codex":[0.9996773,0.0001052492,0.00001581897,0.00005091119,0.00004156137,0.0001090698],"domain_scores_gemma":[0.9966233,0.001409799,0.001345445,0.0001291306,0.0002301599,0.0002622023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0013061,0.0005787634,0.3080543,0.001160207,0.0005146635,0.001281914,0.0007635616,0.2691205,0.00712913,0.3218187,0.01133485,0.07693717],"study_design_scores_gemma":[0.0003694046,0.0005382386,0.554738,0.0004447544,0.0005108899,0.0003877408,0.00197777,0.1885081,0.003153138,0.211617,0.0376164,0.0001385279],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383228,0.006160829,0.005747219,0.004471834,0.00003718955,0.00004697538,0.001716246,0.000065423,0.04343158],"genre_scores_gemma":[0.9969843,0.0009257509,0.0002514956,0.00005828804,0.00001532614,0.000006610355,0.000134877,0.000003127923,0.001620167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02540503,"threshold_uncertainty_score":0.05051428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0344291852807655,"score_gpt":0.2239732786578924,"score_spread":0.1895440933771269,"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."}}