{"id":"W3203723536","doi":"10.4102/aej.v9i1.553","title":"How to measure monitoring and evaluation system effectiveness?","year":2021,"lang":"en","type":"article","venue":"African Evaluation Journal","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université du Québec à Montréal","keywords":"Scarcity; Process management; Monitoring and evaluation; Corporate governance; Quality (philosophy); Business; Sample (material); Information system; Knowledge management; Environmental resource management; Management science; Computer science; Engineering; Economics; Economic growth","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05172246,0.0001691343,0.0003010276,0.0004083797,0.0005569123,0.00164456,0.0002751657,0.00006907761,0.0005095666],"category_scores_gemma":[0.009632555,0.0001328477,0.00009819537,0.0012506,0.000030432,0.0009572784,0.00008071562,0.0002383291,0.0001026074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007408819,"about_ca_system_score_gemma":0.001483264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002197875,"about_ca_topic_score_gemma":0.000008143561,"domain_scores_codex":[0.9862648,0.004442073,0.0006153723,0.0004831226,0.007926884,0.0002678045],"domain_scores_gemma":[0.9892725,0.0009387626,0.0004250114,0.0004239788,0.008609683,0.0003300015],"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":[0.00007743796,0.00004208687,0.0405641,0.00001785681,0.00008228685,0.00001015914,0.002584012,0.01021362,0.01151061,0.0006864294,0.0007732966,0.9334381],"study_design_scores_gemma":[0.003906827,0.0003458863,0.7690413,0.0004500197,0.0004258446,0.0006708677,0.05093903,0.1463575,0.01112526,0.007057187,0.009151686,0.0005286318],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631973,0.001134385,0.01790478,0.00771841,0.002261092,0.0008366746,0.000004322915,0.00003160901,0.006911425],"genre_scores_gemma":[0.9971464,0.00001512568,0.001737689,0.0000497762,0.0006846967,0.0001063258,0.000003374827,0.00001289226,0.0002436997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9329095,"threshold_uncertainty_score":0.9993919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2788433015961674,"score_gpt":0.4898833820016195,"score_spread":0.211040080405452,"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."}}