{"id":"W3021822145","doi":"10.1257/aer.20101199","title":"Railroads of the Raj: Estimating the Impact of Transportation Infrastructure","year":2018,"lang":"en","type":"article","venue":"American Economic Review","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1560,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; British Academy; Royal Economic Society; Nuffield Foundation; Canadian Institute for Advanced Research","keywords":"Economics; Statistic; Welfare; Econometrics; International economics; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006503438,0.0002061025,0.0002691069,0.001375028,0.0003024031,0.001513603,0.0005339137,0.0003104628,0.002354045],"category_scores_gemma":[0.006751481,0.0002186344,0.0003733451,0.00270057,0.0005680746,0.0009564434,0.0009840084,0.000894467,0.0004297196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001435116,"about_ca_system_score_gemma":0.001174831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1309233,"about_ca_topic_score_gemma":0.1308591,"domain_scores_codex":[0.9995012,0.0002213321,0.00001957405,0.00008442254,0.00007454641,0.00009884228],"domain_scores_gemma":[0.9971477,0.001281706,0.0007278886,0.0003133652,0.000367982,0.0001613845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000158956,0.0001309469,0.9111744,0.0002054614,0.000390993,0.0004128705,0.001253442,0.03818684,0.0003661603,0.01386051,0.004638368,0.02922092],"study_design_scores_gemma":[0.00002691866,0.0001299682,0.9198042,0.00008489485,0.0002118472,0.000194438,0.007587491,0.05395101,0.0007327463,0.006376135,0.01086271,0.00003759663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937975,0.000273162,0.0006627429,0.0002354472,0.000005502323,0.00001147844,0.001517505,0.00002735075,0.003469333],"genre_scores_gemma":[0.9979678,0.0001767843,0.0004172111,0.00001172102,0.000004444835,0.000004982006,0.0009143461,0.000004300898,0.000498339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1309233,"threshold_uncertainty_score":0.2603225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02879894817327275,"score_gpt":0.2669954371443235,"score_spread":0.2381964889710508,"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."}}