{"id":"W4390684558","doi":"10.1016/j.giq.2023.101901","title":"Exploring the potential and limits of digital tools for inclusive regulatory engagement with citizens","year":2024,"lang":"en","type":"article","venue":"Government Information Quarterly","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020; Economic and Social Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Commission; Agencia Estatal de Investigación; Réseau de cancérologie Rossy","keywords":"Panacea (medicine); Toolbox; Public engagement; Inclusion (mineral); Key (lock); Competition (biology); Stakeholder engagement; Public relations; Business; User engagement; Political science; Computer science; Sociology; Computer security; World Wide Web; Social science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04552559,0.000433297,0.0006287322,0.005002014,0.006966372,0.03145246,0.002650948,0.004467725,0.01340819],"category_scores_gemma":[0.1057521,0.000547586,0.0007810289,0.004798085,0.02850954,0.03188189,0.02325546,0.004072736,0.001634194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006651149,"about_ca_system_score_gemma":0.006438359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002697671,"about_ca_topic_score_gemma":0.003030403,"domain_scores_codex":[0.9062998,0.07205413,0.00217076,0.002921572,0.01225325,0.004300391],"domain_scores_gemma":[0.752746,0.2089907,0.01176274,0.0133068,0.008748026,0.004445693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003098412,0.0002734261,0.021654,0.0005540214,0.00005407957,0.0003864298,0.05774697,0.002148937,0.0007473319,0.8131371,0.003097147,0.09989061],"study_design_scores_gemma":[0.0001049698,0.0005954313,0.02133446,0.003442562,0.0001295449,0.0008797025,0.220597,0.007332491,0.002439908,0.5572274,0.1857509,0.0001657611],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4759849,0.003381122,0.02580767,0.04189705,0.0001725747,0.0002309496,0.0001329992,0.0001164233,0.4522763],"genre_scores_gemma":[0.9930934,0.0006922436,0.002948991,0.0006809208,0.00006272171,0.0001926241,0.00002655698,0.00002809442,0.002274583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04552559,"threshold_uncertainty_score":0.2407652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03934937292045126,"score_gpt":0.2203491767391425,"score_spread":0.1809998038186912,"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."}}