{"id":"W1595285445","doi":"","title":"The ICOP Manufacturing Database: International Comparisons of Productivity Levels","year":2001,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Multifactor productivity; Purchasing power; International comparisons; Economics; Purchasing; Manufacturing; Agricultural economics; Business; Operations management; Total factor productivity; Economic growth; Marketing; Macroeconomics","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":[0.003398656,0.002001368,0.001934087,0.03335265,0.0005909255,0.004655779,0.002722197,0.001185307,0.03517789],"category_scores_gemma":[0.01546968,0.0006986497,0.0008432163,0.07691333,0.0003758995,0.002852279,0.002994865,0.001695906,0.02295166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001943507,"about_ca_system_score_gemma":0.003991981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166422,"about_ca_topic_score_gemma":0.01096385,"domain_scores_codex":[0.9934449,0.0005491639,0.001730028,0.0009673939,0.002827901,0.000480566],"domain_scores_gemma":[0.9811456,0.003091402,0.004759219,0.002976184,0.007140627,0.0008871005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006121854,0.0001719164,0.01940329,0.001953356,0.0002659315,0.0001529592,0.0002663376,0.001903166,0.0006072534,0.008279429,0.8638046,0.1025795],"study_design_scores_gemma":[0.0002416277,0.00008936117,0.1291067,0.0003448852,0.0001650894,0.0003317761,0.0003107321,0.001172214,0.001404932,0.002382838,0.86435,0.00009989924],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004988127,0.0009121975,0.00264711,0.000159949,0.0000858091,0.0001718682,0.9729226,0.001572698,0.01653957],"genre_scores_gemma":[0.009930696,0.0009439304,0.005064128,0.00005472339,0.0000805074,0.0004712943,0.9804243,0.0004003659,0.002629949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03517789,"threshold_uncertainty_score":0.1176817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06206888583984274,"score_gpt":0.2704187991254493,"score_spread":0.2083499132856066,"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."}}