{"id":"W372498109","doi":"10.1596/11061","title":"Defining and Using Performance Indicators and Targets in Government M and E Systems","year":2011,"lang":"en","type":"book","venue":"World Bank, Washington, DC eBooks","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Pace; Performance indicator; Government (linguistics); Business; Work (physics); Performance measurement; Quality (philosophy); Economic indicator; Computer science; Economics; Engineering; Geography; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0208046,0.001372937,0.0008762765,0.007275196,0.002027473,0.01808536,0.00168616,0.003108911,0.004328254],"category_scores_gemma":[0.0299508,0.0008987259,0.000501169,0.01688434,0.008599032,0.01964671,0.004213305,0.004530976,0.003322758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008417298,"about_ca_system_score_gemma":0.008639059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008243049,"about_ca_topic_score_gemma":0.007039832,"domain_scores_codex":[0.9812506,0.01122095,0.001413854,0.00102933,0.00441267,0.0006727132],"domain_scores_gemma":[0.9854587,0.009593002,0.001120406,0.001321173,0.002215581,0.000291152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002125241,0.00003610653,0.001036405,0.0003611444,0.000007498737,0.00005212547,0.003330623,0.001983855,0.0002704677,0.7087395,0.03361161,0.2505495],"study_design_scores_gemma":[0.00001379435,0.00008900632,0.002813864,0.002098804,0.00002232363,0.0001640908,0.005608293,0.004070413,0.001964108,0.4921025,0.4909484,0.0001043684],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008094226,0.02328341,0.2802189,0.03158164,0.001600164,0.0006915951,0.0007730864,0.001484797,0.6522722],"genre_scores_gemma":[0.2340297,0.0503333,0.5746288,0.005079522,0.001152975,0.002115257,0.001305154,0.001742722,0.1296126],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0208046,"threshold_uncertainty_score":0.1100265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03745911716361074,"score_gpt":0.3032593406247804,"score_spread":0.2658002234611697,"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."}}