{"id":"W4378223570","doi":"10.1002/ev.20540","title":"What we can learn from the international program for development evaluation training (IPDET)","year":2023,"lang":"en","type":"article","venue":"New Directions for Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Program evaluation; Training (meteorology); Monitoring and evaluation; Diversity (politics); Medical education; Corporate governance; Political science; Psychology; Business; Medicine; Geography; Public administration; Finance","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":[0.1413985,0.00103758,0.001367711,0.003699779,0.004764757,0.02289083,0.004002737,0.007470985,0.01708294],"category_scores_gemma":[0.222598,0.0006817569,0.001587196,0.004299414,0.008882074,0.03056965,0.0125243,0.01624361,0.006731378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009910089,"about_ca_system_score_gemma":0.03367612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004560879,"about_ca_topic_score_gemma":0.007751058,"domain_scores_codex":[0.8960354,0.07798661,0.004390252,0.003171425,0.01313428,0.005282092],"domain_scores_gemma":[0.7560911,0.1307371,0.007023345,0.01951616,0.05611706,0.03051524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005264946,0.0003061058,0.002182538,0.002567788,0.00004831966,0.0002015537,0.006515589,0.0003167312,0.0001537326,0.06889334,0.5485016,0.3702601],"study_design_scores_gemma":[0.00004515281,0.0001638448,0.002310506,0.01272282,0.00003124126,0.0002229681,0.007388561,0.0003002708,0.0003074848,0.05119148,0.9252431,0.00007255779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002257787,0.04262037,0.01642799,0.8713218,0.01397382,0.0003458132,0.0003891783,0.0005690255,0.05209426],"genre_scores_gemma":[0.140936,0.1689,0.1686292,0.446188,0.0221651,0.003876936,0.00232141,0.001406552,0.04557685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1413985,"threshold_uncertainty_score":0.7477956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5304740430548962,"score_gpt":0.569693978952799,"score_spread":0.03921993589790285,"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."}}