{"id":"W4413155488","doi":"10.1109/mis.2025.3586086","title":"Intelligent and Autonomous Systems in Government","year":2025,"lang":"en","type":"article","venue":"IEEE Intelligent Systems","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Intelligent decision support system; Government (linguistics); Artificial intelligence; Human–computer interaction; Knowledge management; Data 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00115358,0.0001968185,0.000370638,0.0001386837,0.0002153541,0.0003271338,0.0003234656,0.000173618,0.00002416124],"category_scores_gemma":[0.0001192094,0.0001784586,0.00006329482,0.0003703799,0.0001768493,0.0001350775,0.00005208044,0.0001856894,0.0001499677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008251106,"about_ca_system_score_gemma":0.0001672142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08312174,"about_ca_topic_score_gemma":0.00434973,"domain_scores_codex":[0.9976717,0.0003570365,0.0006101333,0.0003520463,0.0005246497,0.0004844328],"domain_scores_gemma":[0.9991444,0.0002640696,0.0001203147,0.0002491389,0.00006336087,0.0001586541],"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":[0.00008366609,0.0003910221,0.03724383,0.0008671837,0.0002372809,0.00008373007,0.08101994,0.004056205,0.0005062339,0.8289788,0.02644596,0.02008619],"study_design_scores_gemma":[0.0001154143,0.00003806248,0.0002564708,0.0004592501,0.00001607535,0.000002976765,0.01748001,0.001408704,0.0009995458,0.0003375722,0.978656,0.0002299238],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4772652,0.03236493,0.004659144,0.00516043,0.0244571,0.003966639,0.00006761767,0.000438043,0.4516209],"genre_scores_gemma":[0.9511729,0.0009155781,0.000007303458,0.0001346512,0.0004435295,0.000115776,0.000001025318,0.00001142079,0.04719776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.95221,"threshold_uncertainty_score":0.9229838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0339708183901124,"score_gpt":0.33450710147469,"score_spread":0.3005362830845776,"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."}}