{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01342851,0.0006649836,0.000648796,0.01473268,0.0005170634,0.002561469,0.001057681,0.0007424484,0.005927157],"category_scores_gemma":[0.07175592,0.0001986846,0.0009091699,0.03484233,0.0009440337,0.002532661,0.002663893,0.001175257,0.002432725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167853,"about_ca_system_score_gemma":0.001991869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005411374,"about_ca_topic_score_gemma":0.004034165,"domain_scores_codex":[0.9777156,0.007020852,0.004143024,0.001862715,0.008342654,0.0009153119],"domain_scores_gemma":[0.9217992,0.02440921,0.01221212,0.01350846,0.02658758,0.001483482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009975298,0.0003433243,0.4236735,0.002267638,0.0006222684,0.0003360871,0.003135842,0.004367727,0.003378799,0.06742492,0.06472576,0.4287266],"study_design_scores_gemma":[0.00009005552,0.0003950829,0.7125611,0.001151233,0.0002079585,0.0006365785,0.002952512,0.002720374,0.004312768,0.01066034,0.264211,0.0001010662],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4884324,0.01099601,0.1078857,0.007707946,0.001447577,0.001232296,0.2330665,0.00121059,0.1480211],"genre_scores_gemma":[0.7686772,0.004740436,0.04811656,0.0008788765,0.0004926662,0.001824478,0.169409,0.0005856474,0.005275146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01473268,"threshold_uncertainty_score":0.07101762,"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."}}