{"id":"W7113047115","doi":"","title":"Are regulations achieving their objectives? Post Implementation Reviews – why they should be done, why they aren’t done and how to get them done","year":2024,"lang":"en","type":"other","venue":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Government (linguistics); Process (computing); European union; Public consultation; Unintended consequences; Regulatory reform; Best practice","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001331729,0.002514663,0.002444578,0.005400274,0.0009704749,0.008527436,0.003755471,0.001042987,0.002963837],"category_scores_gemma":[0.0009586562,0.002434182,0.001016386,0.003888601,0.0003076266,0.009564471,0.005179981,0.001886248,0.0146368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002386091,"about_ca_system_score_gemma":0.0002410452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005599176,"about_ca_topic_score_gemma":0.02709686,"domain_scores_codex":[0.9906311,0.001057627,0.00101785,0.003659125,0.001724971,0.001909318],"domain_scores_gemma":[0.9926587,0.0003607805,0.001915562,0.002643509,0.0008202626,0.001601229],"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":[0.001345891,0.000552625,0.04929723,0.001524769,0.002639746,0.0004993402,0.003296323,0.00004499114,0.003765847,0.00375001,0.9272039,0.00607935],"study_design_scores_gemma":[0.001418482,0.0002034052,0.02015686,0.00295471,0.0008428991,0.0000616837,0.001882828,0.000001854992,0.0003958708,0.0004358342,0.9689678,0.002677803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1877264,0.001420209,0.001577103,0.01291343,0.002385436,0.02410675,0.1053655,0.006827234,0.6576779],"genre_scores_gemma":[0.3750977,0.001874787,0.001279012,0.009251455,0.00175393,0.0003340567,0.009082289,0.006259931,0.5950668],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1873713,"threshold_uncertainty_score":0.998759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07289385212594111,"score_gpt":0.3004056818145268,"score_spread":0.2275118296885856,"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."}}