{"id":"W4403433283","doi":"10.1002/pra2.1043","title":"Cross‐Domain Information Integration in Government: Hierarchies and Responsibilities","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Government (linguistics); Domain (mathematical analysis); Business; Knowledge management; Computer science; Process management; Data science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.05612427,0.0003625861,0.0005749108,0.009181991,0.0162897,0.02207604,0.002491524,0.0022913,0.00278038],"category_scores_gemma":[0.06957063,0.000917571,0.0004623748,0.01214193,0.04356653,0.02005686,0.02188461,0.003809368,0.0003203835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02373916,"about_ca_system_score_gemma":0.04225123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0853984,"about_ca_topic_score_gemma":0.06381562,"domain_scores_codex":[0.9142023,0.05509702,0.004555677,0.003369085,0.01664187,0.006134038],"domain_scores_gemma":[0.8893377,0.07063346,0.008512612,0.01143933,0.01432439,0.005752518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003658313,0.00007938597,0.02685216,0.0001864933,0.0000284841,0.0004466581,0.5994393,0.000704919,0.001294234,0.310516,0.001052544,0.05936336],"study_design_scores_gemma":[0.000018308,0.00005997337,0.02649907,0.0009323462,0.00003781052,0.000618127,0.6814787,0.004006531,0.001494466,0.2106946,0.07407198,0.00008809767],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7480456,0.00176972,0.07869703,0.02204379,0.00008615568,0.0003447625,0.00008296154,0.0001546738,0.1487754],"genre_scores_gemma":[0.9942867,0.0001400737,0.004149381,0.0002574704,0.000007390188,0.0000356814,0.0000176247,0.00001386118,0.00109188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0853984,"threshold_uncertainty_score":0.2968171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007640546790198604,"score_gpt":0.2296444391657589,"score_spread":0.2220038923755603,"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."}}