{"id":"W4407615183","doi":"10.1017/dap.2025.4","title":"The REDATAM format and its challenges for data access and information creation in public policy","year":2025,"lang":"en","type":"article","venue":"Data & Policy","topic":"Policy Transfer and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Public access; Computer science; Data science; World Wide Web; Information retrieval; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.1001056,0.001112208,0.001465132,0.00608191,0.002782253,0.01718081,0.005970513,0.002470548,0.03718242],"category_scores_gemma":[0.3004035,0.001971517,0.001996053,0.01058175,0.003903307,0.01437296,0.01198902,0.007159845,0.02236667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004876915,"about_ca_system_score_gemma":0.01513388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008053386,"about_ca_topic_score_gemma":0.004389156,"domain_scores_codex":[0.9340519,0.04315494,0.008039556,0.004333733,0.008946554,0.001473346],"domain_scores_gemma":[0.6614408,0.2023021,0.01345136,0.0857733,0.03320585,0.003826514],"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":[0.0004098617,0.0001682481,0.004850861,0.001556476,0.0001027878,0.0002712042,0.003591387,0.005133485,0.001570342,0.2959634,0.5093144,0.1770676],"study_design_scores_gemma":[0.0001045549,0.00005639604,0.00230782,0.001910421,0.00003066048,0.0002335998,0.001450722,0.008858047,0.003834516,0.1307423,0.8502834,0.0001875806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01204045,0.001024141,0.7147338,0.05665779,0.004499411,0.00178616,0.09509746,0.06948777,0.04467299],"genre_scores_gemma":[0.06778087,0.001410051,0.8088704,0.009344852,0.001088691,0.008842049,0.05328244,0.03287823,0.01650239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1001056,"threshold_uncertainty_score":0.5294154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1974978936801737,"score_gpt":0.470066607195601,"score_spread":0.2725687135154273,"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."}}