{"id":"W1515803338","doi":"10.3386/w18807","title":"Gravity, Scale and Exchange Rates","year":2013,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada","funders":"","keywords":"Scale (ratio); Exchange rate; Economics; Geology; Environmental science; Geography; Monetary economics; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009435828,0.0005043675,0.0005933045,0.001452745,0.0005813162,0.00181125,0.0009010611,0.001089683,0.007094178],"category_scores_gemma":[0.004458978,0.0003115527,0.0009703504,0.00190945,0.002145885,0.002367616,0.001541779,0.001047999,0.0008924799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563808,"about_ca_system_score_gemma":0.0008689496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009711108,"about_ca_topic_score_gemma":0.003909396,"domain_scores_codex":[0.9995224,0.0001737714,0.00002155875,0.00008607493,0.0001051089,0.00009102855],"domain_scores_gemma":[0.99842,0.0005477814,0.0005350355,0.000204319,0.0001485903,0.0001444118],"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":[0.00001022554,0.0000160407,0.004988695,0.0000290732,0.00003024934,0.00007880367,0.0001496225,0.03278562,0.0001399289,0.9519928,0.002896707,0.006882394],"study_design_scores_gemma":[0.00004060457,0.00003726486,0.007857594,0.00004365962,0.00003265691,0.0001531733,0.0001603162,0.07418136,0.00009664167,0.9000508,0.01731699,0.00002893074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3868666,0.005508865,0.3601519,0.02373164,0.0004301831,0.0002649213,0.001944449,0.0007815355,0.2203198],"genre_scores_gemma":[0.9775342,0.001681956,0.01020275,0.0002713358,0.0002113579,0.0000855258,0.0003496751,0.00003991256,0.009623278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009711108,"threshold_uncertainty_score":0.02373236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2399649787496201,"score_gpt":0.4102832538359977,"score_spread":0.1703182750863775,"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."}}