{"id":"W4313250641","doi":"10.1177/10982140221106991","title":"Laying a Solid Foundation for the Next Generation of Evaluation Capacity Building: Findings from an Integrative Review","year":2022,"lang":"en","type":"article","venue":"American Journal of Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Scholarship; Foundation (evidence); Capacity building; Engineering ethics; Political science; Management science; Sociology; Public relations; Economics; Engineering; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.05302716,0.0001311702,0.0004003622,0.000289175,0.0005215689,0.0001486941,0.0004154313,0.00002080454,0.00240852],"category_scores_gemma":[0.007583005,0.00008701489,0.0001957414,0.000958132,0.0001177889,0.001163716,0.00004587735,0.0002396741,0.000003464331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006901657,"about_ca_system_score_gemma":0.001396014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001036043,"about_ca_topic_score_gemma":0.00004166746,"domain_scores_codex":[0.9903591,0.003248287,0.001404196,0.00025772,0.00457609,0.0001545813],"domain_scores_gemma":[0.9902638,0.001888515,0.002850006,0.0003619502,0.004568974,0.00006678513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001609114,0.0001338089,0.002461976,0.000009684613,0.0001070828,1.561297e-7,0.007180661,0.06890283,0.03453159,0.0005519745,0.002443471,0.8835158],"study_design_scores_gemma":[0.0008514303,0.00140673,0.01163111,0.0001277676,0.0005299873,0.00001784637,0.01114041,0.9599375,0.001713014,0.01084547,0.001675942,0.000122854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9015306,0.001005096,0.09158818,0.004145938,0.0005854503,0.001057333,0.00001886045,0.0000041551,0.0000643665],"genre_scores_gemma":[0.9906204,0.0003542246,0.007269111,0.001198424,0.0002534322,0.0002170927,0.00006573014,0.00001006103,0.00001152688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8910346,"threshold_uncertainty_score":0.9985034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5281446215139854,"score_gpt":0.552257622583783,"score_spread":0.02411300106979752,"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."}}