{"id":"W3209038766","doi":"10.4000/irpp.2083","title":"Closer than they look at first glance: A systematic review and a research agenda regarding measurement practices for policy learning","year":2021,"lang":"en","type":"review","venue":"International Review of Public Policy","topic":"Policy Transfer and Learning","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Argument (complex analysis); Systematic review; Public policy; Strengths and weaknesses; Policy analysis; Creativity; Process (computing); Policy learning; Dissemination; Policy studies; Knowledge management; Management science; Sociology; Psychology; Political science; Computer science; Social psychology; Economics; Public administration","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1486026,0.002059986,0.009399984,0.01739223,0.001820937,0.009445476,0.004039971,0.005189686,0.004390016],"category_scores_gemma":[0.3844294,0.002057814,0.008529256,0.02658815,0.003824805,0.01880042,0.004359127,0.006965359,0.001020917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008080977,"about_ca_system_score_gemma":0.04373084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009833532,"about_ca_topic_score_gemma":0.02187404,"domain_scores_codex":[0.8401009,0.1052547,0.02912633,0.006636794,0.01741613,0.00146519],"domain_scores_gemma":[0.6129048,0.3248152,0.02868686,0.009892035,0.02257888,0.001122236],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002460262,0.00005426111,0.001978976,0.7451938,0.00867508,0.0001664831,0.00313927,0.0004925363,0.0004846342,0.02023898,0.01755251,0.2017775],"study_design_scores_gemma":[0.0001535074,0.0001128591,0.001955472,0.8799419,0.0122783,0.0001577586,0.001968662,0.000294529,0.0002637637,0.01652124,0.08627068,0.00008143021],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004183398,0.9856551,0.001862071,0.01039861,0.0007802689,0.0002463286,0.000146129,0.00001816102,0.0004750336],"genre_scores_gemma":[0.01947472,0.9476932,0.01441167,0.0149645,0.0008166676,0.001969323,0.0003244622,0.00003576916,0.0003096438],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8513974,"threshold_uncertainty_score":0.7858949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3393353013591383,"score_gpt":0.5374949408556816,"score_spread":0.1981596394965434,"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."}}