{"id":"W4409791149","doi":"10.61091/jcmcc127a-297","title":"Research on Multi-Departmental Coordination Mechanism Based on Randomized Algorithm in Government Administration","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Administration (probate law); Mechanism (biology); Government (linguistics); Computer science; Process management; Algorithm; Public administration; Business; Knowledge management; Political science; Epistemology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.005825,0.0007660555,0.002091276,0.001816944,0.001714997,0.002612311,0.002699558,0.001591978,0.004277122],"category_scores_gemma":[0.01409981,0.000562792,0.001875632,0.002889986,0.001969639,0.005116284,0.001464971,0.001742904,0.0003901385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003722334,"about_ca_system_score_gemma":0.006381318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01171588,"about_ca_topic_score_gemma":0.0060951,"domain_scores_codex":[0.9941467,0.002710818,0.00027385,0.001391486,0.0007524671,0.0007246824],"domain_scores_gemma":[0.9916754,0.00530599,0.0008819292,0.0006968239,0.001033098,0.0004068036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000203154,0.0002088629,0.005215325,0.0003028252,0.0002578714,0.00009836261,0.0002571828,0.6117606,0.00104297,0.2989838,0.004024036,0.07764495],"study_design_scores_gemma":[0.00007945769,0.000082128,0.0006317785,0.00002921354,0.00005745018,0.00005354481,0.00007873393,0.9394255,0.0003853245,0.05697804,0.002171647,0.00002711434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03961564,0.0009380809,0.9517153,0.0009617135,0.0001518442,0.0001633796,0.0000887901,0.0002842018,0.006081034],"genre_scores_gemma":[0.7103997,0.002036851,0.2791201,0.0003010341,0.0002022671,0.0005768646,0.0003257887,0.0001262033,0.006911251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01171588,"threshold_uncertainty_score":0.03080589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554975894533791,"score_gpt":0.3092406959560076,"score_spread":0.2836909370106697,"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."}}