{"id":"W3203797720","doi":"10.1002/ev.20478","title":"An introduction to policy advocacy evaluation: The concepts, history, and literature of the field","year":2021,"lang":"en","type":"article","venue":"New Directions for Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Field (mathematics); Adaptation (eye); Policy development; Engineering ethics; Management science; Evaluation methods; Computer science; Political science; Public administration; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.007650383,0.0001072322,0.000143171,0.0002573703,0.0003844317,0.0001631276,0.0002743523,0.00007397093,0.001967794],"category_scores_gemma":[0.01362795,0.00006515134,0.000100028,0.001704842,0.00005296363,0.0004649663,0.00004697687,0.0001195453,0.00001133711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003630283,"about_ca_system_score_gemma":0.002796269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007740122,"about_ca_topic_score_gemma":0.0004808959,"domain_scores_codex":[0.9961274,0.0009714849,0.0004700996,0.0004101978,0.001894446,0.0001263833],"domain_scores_gemma":[0.9946122,0.0008083424,0.0002511702,0.0008498271,0.003399324,0.00007914507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005500391,0.00007916832,0.001041202,0.000006278407,0.00002551978,3.381087e-8,0.009098953,0.006305797,0.003293351,0.01130394,0.2710662,0.6977246],"study_design_scores_gemma":[0.001157222,0.0002286396,0.03931433,0.00002521979,0.0001666805,0.00001433253,0.00226073,0.06779349,0.006148704,0.02224011,0.8605142,0.0001364043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3865713,0.005755718,0.01649167,0.5611899,0.01127386,0.005626065,0.00003841384,0.00008037855,0.0129726],"genre_scores_gemma":[0.9823692,0.00006747121,0.00159819,0.003252346,0.002527639,0.0003723172,0.00006203856,0.00001270231,0.00973811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6975882,"threshold_uncertainty_score":0.9989445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.12003077569205,"score_gpt":0.5220412336486495,"score_spread":0.4020104579565995,"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."}}