{"id":"W3121752294","doi":"","title":"A Note on Monitoring Daily Economic Activity Via Electronic Transaction Data","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Blackout; Economy; Geography; Economics; Art; Physics; Power (physics)","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003433377,0.0005836708,0.001493625,0.001303119,0.0002986964,0.0004173443,0.001952601,0.00064957,0.000407861],"category_scores_gemma":[0.0001080836,0.0007756121,0.0004262877,0.0002183293,0.0001308953,0.0004591983,0.0008269064,0.002681629,0.0003124901],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004442917,"about_ca_system_score_gemma":0.0004092903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003114359,"about_ca_topic_score_gemma":0.00231164,"domain_scores_codex":[0.9943959,0.0001702751,0.001417971,0.002500078,0.0001180514,0.001397754],"domain_scores_gemma":[0.9950611,0.0002902228,0.0007509004,0.003622292,0.00004013761,0.0002353369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006901053,0.0007302306,0.008139311,0.000338115,0.00101015,0.00003687424,0.0004842838,0.09651671,0.0001398104,0.00935817,0.0001501058,0.8824061],"study_design_scores_gemma":[0.00268598,0.000865036,0.04457706,0.0004996522,0.00007240721,0.00002703656,0.0002558189,0.6708421,0.0003592927,0.05375993,0.2228002,0.003255619],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8231552,0.002074157,0.001488375,0.001732116,0.002946243,0.002331626,0.001878353,0.0002167225,0.1641772],"genre_scores_gemma":[0.9855856,0.01132008,0.0002692018,0.00002655845,0.0008529774,0.0001196283,0.0001868961,0.0001107966,0.001528267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8791505,"threshold_uncertainty_score":0.9996192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06345825419598977,"score_gpt":0.3164091429028484,"score_spread":0.2529508887068586,"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."}}