{"id":"W133934213","doi":"","title":"Trade collapse, data gaps and the impact of the financial crisis on official statistics","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic, financial, and policy analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial crisis; Quarter (Canadian coin); Falling (accident); Trade finance; Resilience (materials science); Goods and services; Globe; Business; International economics; Economics; Balance of trade; Financial services; International trade; Finance; Economy; Geography; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004219845,0.000482378,0.001585834,0.0006261803,0.0003519387,0.0001811089,0.002662765,0.0005913852,0.0002178455],"category_scores_gemma":[0.002623508,0.0003866305,0.0005200514,0.0002941596,0.001140461,0.0001329983,0.002182088,0.001801667,0.00002755926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006261837,"about_ca_system_score_gemma":0.0008077516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007121511,"about_ca_topic_score_gemma":0.002935974,"domain_scores_codex":[0.9956401,0.0003248305,0.001801442,0.001312907,0.00009543235,0.0008252896],"domain_scores_gemma":[0.9939396,0.001391783,0.001208059,0.003251582,0.00005404619,0.0001549173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003199109,0.001507183,0.08318619,0.0007718868,0.002453138,0.00002730217,0.01018261,0.03353953,0.000005481552,0.781726,0.02834756,0.05505404],"study_design_scores_gemma":[0.007592543,0.0006639093,0.3433196,0.0003713754,0.0001971114,0.00001909876,0.0008928091,0.07761809,0.00008976964,0.520998,0.04579528,0.002442425],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8048526,0.003786898,0.000109898,0.003430306,0.002094889,0.003525868,0.03555075,0.00004147566,0.1466073],"genre_scores_gemma":[0.9775273,0.02075696,0.0001957995,0.0002221096,0.0005210598,0.00009727554,0.0001808617,0.00007815063,0.0004205308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.260728,"threshold_uncertainty_score":0.9998586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08234266316617989,"score_gpt":0.327649997957503,"score_spread":0.2453073347913232,"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."}}