{"id":"W4386239100","doi":"10.2139/ssrn.4552219","title":"National Accounts in a World of Naturally Occurring Data: A Proof of Concept for Consumption","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Consumption (sociology); Database transaction; National accounts; Computer science; Econometrics; Metadata; Panel data; Distribution (mathematics); Parametric statistics; Aggregate (composite); Economics; Accounting; Database; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.02180869,0.001070886,0.002126668,0.002591051,0.002634771,0.007174294,0.003484785,0.003327236,0.0105161],"category_scores_gemma":[0.1392575,0.001285359,0.002376083,0.003751651,0.008700709,0.02456952,0.01142732,0.00806309,0.001220147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003482311,"about_ca_system_score_gemma":0.006752882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00351292,"about_ca_topic_score_gemma":0.002530406,"domain_scores_codex":[0.9880424,0.005489136,0.0005673962,0.002294813,0.003073401,0.0005328372],"domain_scores_gemma":[0.856503,0.1025223,0.00557083,0.02225359,0.0103416,0.002808769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001072686,0.0001337255,0.001766847,0.0001150855,0.00005835525,0.0001016947,0.000279728,0.006291206,0.0003334316,0.9577854,0.004785883,0.02824133],"study_design_scores_gemma":[0.00007057058,0.00004740036,0.0009909159,0.0001534682,0.00004102839,0.0002145442,0.0001961324,0.1354512,0.0006141092,0.8540817,0.008095997,0.00004283409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02320141,0.0007824663,0.9461738,0.01003248,0.0003867657,0.0004481211,0.0006400095,0.0006739186,0.01766098],"genre_scores_gemma":[0.3782018,0.00148275,0.6108042,0.001575573,0.0007719185,0.0008467548,0.0006947304,0.0006124206,0.005009859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02180869,"threshold_uncertainty_score":0.1153368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06923330333914775,"score_gpt":0.2911371871257998,"score_spread":0.221903883786652,"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."}}