{"id":"W4410499407","doi":"10.59490/dgo.2025.937","title":"The evolving AI regulation space","year":2025,"lang":"en","type":"article","venue":"Conference on Digital Government Research","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"State University of New York","keywords":"Space (punctuation); Computer 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":[0.03953673,0.0002837413,0.0005987016,0.005121464,0.006689938,0.01637718,0.002751584,0.00535392,0.006690104],"category_scores_gemma":[0.05093281,0.0006912206,0.001188259,0.005516746,0.01998815,0.01303195,0.005962371,0.01205666,0.001051261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01585287,"about_ca_system_score_gemma":0.02177529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.029897,"about_ca_topic_score_gemma":0.02215274,"domain_scores_codex":[0.9639179,0.01562662,0.002114774,0.006286759,0.008941291,0.003112643],"domain_scores_gemma":[0.9169647,0.05454081,0.005605404,0.007645628,0.01176586,0.003477492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002111873,0.00004433686,0.004002934,0.00008471508,0.00001915091,0.00004986412,0.004680257,0.0006213207,0.0002462423,0.9364774,0.01753328,0.03621934],"study_design_scores_gemma":[0.00001994579,0.00005129237,0.01266449,0.001005315,0.00003715828,0.0001382825,0.00841883,0.001905838,0.0009510207,0.318244,0.6564789,0.00008495936],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1109304,0.01956907,0.05267992,0.4793297,0.002984643,0.0001460921,0.001331161,0.0004864568,0.3325426],"genre_scores_gemma":[0.843461,0.009196536,0.01840858,0.1027907,0.002270202,0.0005350527,0.00105149,0.0004123616,0.02187407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03953673,"threshold_uncertainty_score":0.2090927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1221048529503949,"score_gpt":0.4662394319636425,"score_spread":0.3441345790132476,"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."}}