{"id":"W2102902950","doi":"10.17169/fudocs_document_000000014230","title":"The making of America’s imbalances","year":2012,"lang":"en","type":"article","venue":"Refubium (Universitätsbibliothek der Freien Universität Berlin)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Boom; Global imbalances; Current account; Financial crisis; Balance sheet; Economics; Asset (computer security); Balance (ability); Government (linguistics); Financial market; Emerging markets; Financial system; Monetary economics; Business; Finance; Macroeconomics; Exchange rate","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":[0.0007640168,0.0002066671,0.0002568401,0.001020326,0.001732164,0.003688233,0.0002476804,0.001017013,0.004771958],"category_scores_gemma":[0.002680449,0.0001561353,0.0001875503,0.001522831,0.001595513,0.004069593,0.001710162,0.001930262,0.0005019158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002226681,"about_ca_system_score_gemma":0.001408774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01860241,"about_ca_topic_score_gemma":0.02759571,"domain_scores_codex":[0.9995925,0.000065762,0.00001519983,0.00008278001,0.0001287927,0.0001148897],"domain_scores_gemma":[0.9992804,0.00007992145,0.0002099426,0.00005861672,0.0002102846,0.0001609681],"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":[0.0003998815,0.0001586822,0.1546707,0.0002497346,0.0001423932,0.001007599,0.01535965,0.00228842,0.002493227,0.2932536,0.2473683,0.2826077],"study_design_scores_gemma":[0.000021414,0.00006622606,0.2294755,0.0003643201,0.00005060928,0.0003166927,0.01265334,0.001117616,0.000812194,0.09031857,0.6647386,0.00006497387],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5858358,0.01286228,0.002356858,0.1162902,0.002207972,0.00002302789,0.002287214,0.0001787689,0.2779579],"genre_scores_gemma":[0.9815741,0.003911886,0.000564745,0.004341349,0.0008272759,0.00001089372,0.0004320515,0.00005736849,0.008280314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01860241,"threshold_uncertainty_score":0.03698826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02354323909172915,"score_gpt":0.2120329888801669,"score_spread":0.1884897497884377,"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."}}