{"id":"W1590053118","doi":"","title":"Data for Productivity Measurement in Market Services: An International Comparison","year":2008,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; National accounts; Conceptual framework; Yield (engineering); Industrial organization; Performance measurement; Business; Macroeconomics; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002026215,0.0002181925,0.000399419,0.0003324499,0.0001199396,0.00009046531,0.001331934,0.00008394034,0.0002612829],"category_scores_gemma":[0.0004709784,0.0002676795,0.00007264284,0.00009832028,0.00007513088,0.002626756,0.0002295644,0.0002009627,0.0001064727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004183969,"about_ca_system_score_gemma":0.00003273699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001472263,"about_ca_topic_score_gemma":0.0004710433,"domain_scores_codex":[0.9976556,0.00003960195,0.0007279829,0.001096446,0.0001518423,0.0003285021],"domain_scores_gemma":[0.9983197,0.0000440243,0.0004048821,0.001046947,0.00009089532,0.00009355326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000666933,0.002304583,0.9754723,0.00008187338,0.0003804721,0.000006906948,0.001144884,0.003195982,0.0002753868,0.002167274,0.01021738,0.004086084],"study_design_scores_gemma":[0.001291662,0.0001070154,0.6169858,0.00002903914,0.00000689694,0.0000289542,0.00006975122,0.1389977,0.0005491037,0.004445099,0.2369952,0.0004937978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804387,0.0002316418,0.001464452,0.004601616,0.004667271,0.0006807634,0.002729136,0.00005756694,0.005128822],"genre_scores_gemma":[0.9939643,0.00005102511,0.001957548,0.00009340107,0.002545455,0.00008190487,0.0004579491,0.00002986693,0.0008185296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3584864,"threshold_uncertainty_score":0.9999775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2837828119326986,"score_gpt":0.3167436880947665,"score_spread":0.03296087616206789,"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."}}