{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005539687,0.0004569046,0.0005016823,0.001444142,0.006648506,0.01361617,0.001071901,0.01172425,0.007379519],"category_scores_gemma":[0.006096747,0.0002807908,0.0004509799,0.001686556,0.04271949,0.009386296,0.00500748,0.007220878,0.001159975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01006107,"about_ca_system_score_gemma":0.007755372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008737913,"about_ca_topic_score_gemma":0.005867238,"domain_scores_codex":[0.9935983,0.004116727,0.0001995867,0.0004792405,0.0008882394,0.0007178503],"domain_scores_gemma":[0.9955838,0.00308702,0.0002828359,0.0004028831,0.0003356306,0.0003077823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001492599,0.000002977113,0.00004737978,0.00001524717,0.000001078023,0.00002602241,0.0007551613,0.0001287271,0.00001147442,0.9924389,0.004129138,0.002442406],"study_design_scores_gemma":[0.000005407129,0.000007406998,0.0001619678,0.0001653183,0.000002191476,0.00004356121,0.001197662,0.0003072233,0.00003725835,0.8204076,0.1776574,0.000007088712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006141534,0.05242125,0.01400027,0.312532,0.00219562,0.00007581301,0.00005846733,0.0001060756,0.612469],"genre_scores_gemma":[0.8094823,0.04334312,0.0104111,0.05270044,0.004605434,0.0005189366,0.00007653651,0.0001266464,0.07873534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01361617,"threshold_uncertainty_score":0.07299852,"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."}}