{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001834764,0.0002768109,0.0003964968,0.000398817,0.0006837426,0.0004468061,0.0002494162,0.0002768181,0.00003064569],"category_scores_gemma":[0.0001204954,0.0002814322,0.00003011598,0.0001109376,0.0007662189,0.0002436436,0.0002244563,0.0006273074,0.000003225588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003720294,"about_ca_system_score_gemma":0.0009554462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001695628,"about_ca_topic_score_gemma":0.005204904,"domain_scores_codex":[0.9975774,0.000197676,0.0004155744,0.0004814694,0.0007409646,0.0005869291],"domain_scores_gemma":[0.9989408,0.0002392781,0.0002816199,0.0001783346,0.00003054233,0.000329486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008835346,0.00005911801,0.04184419,0.001143066,0.0001476242,0.000071218,0.03951526,0.000003081621,0.00005652641,0.8624618,0.004625441,0.04998432],"study_design_scores_gemma":[0.0007492235,0.00009705546,0.01184478,0.001540806,0.0000561818,0.00001834939,0.001832266,0.0003458995,0.00009187505,0.002624929,0.9798486,0.0009500872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1599602,0.002003732,0.000002744892,0.0001206481,0.0001897786,0.0005080109,0.00004965853,0.0000401825,0.8371251],"genre_scores_gemma":[0.6129929,0.0003188906,0.00009174312,0.00009788907,0.0002007377,0.00002495039,0.000005803837,0.00003008978,0.3862369],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9752231,"threshold_uncertainty_score":0.9999638,"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."}}