{"id":"W2006460435","doi":"10.1108/17410401311329625","title":"A bottom‐up approach for productivity measurement and improvement","year":2013,"lang":"en","type":"article","venue":"International Journal of Productivity and Performance Management","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Productivity; Profitability index; Originality; Top-down and bottom-up design; Triple bottom line; Industrial organization; Computer science; Value (mathematics); Agricultural productivity; Operations management; Environmental economics; Business; Economics; Agriculture; Sustainability; Finance; Macroeconomics; Creativity","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":[0.01201481,0.002298915,0.001374142,0.007409829,0.002918547,0.009653148,0.002320676,0.00124679,0.005089179],"category_scores_gemma":[0.01840446,0.0006636439,0.001596868,0.005254012,0.002954677,0.004343285,0.00444737,0.002979511,0.001595362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007023492,"about_ca_system_score_gemma":0.009513059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008940067,"about_ca_topic_score_gemma":0.007964836,"domain_scores_codex":[0.9743993,0.006944229,0.001313481,0.002404107,0.01352602,0.001412888],"domain_scores_gemma":[0.9766306,0.007443947,0.002298303,0.002737214,0.01001209,0.0008778586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002540379,0.0005644339,0.0182045,0.001956748,0.000297786,0.0002866461,0.005113326,0.01570421,0.008751497,0.07160739,0.01109532,0.8661641],"study_design_scores_gemma":[0.0002629088,0.003912188,0.09691307,0.006784649,0.001172012,0.001210366,0.0244004,0.2117726,0.06366756,0.37502,0.2138639,0.001020364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03844005,0.002223436,0.8709033,0.005743862,0.0004535305,0.002151913,0.0006334924,0.002174247,0.07727619],"genre_scores_gemma":[0.4217094,0.0009114987,0.5668227,0.000799343,0.0001086769,0.001044108,0.000391391,0.0002244492,0.00798837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01201481,"threshold_uncertainty_score":0.06354123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03126206136274518,"score_gpt":0.235758002860518,"score_spread":0.2044959414977728,"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."}}