{"id":"W4395465442","doi":"10.18280/isi.290218","title":"Evaluating the Performance of a Multi-Organizational E-Government Platform on Hyperledger Fabric with Fuzzy Logic-Enhanced Multi-Channel Connectivity","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Baghdad","keywords":"Fuzzy logic; Channel (broadcasting); Government (linguistics); Computer science; Business; Computer network; Artificial intelligence","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":[0.000827175,0.0003712787,0.0002812076,0.0005387279,0.0003833495,0.0007805188,0.0005730529,0.0004720233,0.002060571],"category_scores_gemma":[0.001651202,0.0001628258,0.0001650012,0.0004608046,0.0003975491,0.00129055,0.0006391494,0.0002871189,0.0002295877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008647594,"about_ca_system_score_gemma":0.0004994993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003009143,"about_ca_topic_score_gemma":0.002349748,"domain_scores_codex":[0.9994839,0.000148221,0.00003244607,0.00006133401,0.0001228276,0.0001512651],"domain_scores_gemma":[0.9988937,0.0004853086,0.0001330392,0.0001364244,0.0002238785,0.0001277952],"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":[0.008729489,0.002427574,0.04129492,0.0007752936,0.0001810769,0.001837811,0.0007475434,0.5927624,0.2106386,0.005284606,0.001080947,0.1342398],"study_design_scores_gemma":[0.0001703754,0.006315533,0.02122964,0.00002856903,0.00009191361,0.0002191365,0.0006592809,0.8883952,0.08116469,0.0006962298,0.0009789524,0.00005044063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978638,0.00002295421,0.001257075,0.00001774058,0.000005612729,0.00002327086,0.00001519963,0.000052471,0.0007419037],"genre_scores_gemma":[0.9984572,0.00002143371,0.001187526,0.000004103148,0.000001377595,0.000008354007,0.00001746684,0.00000256195,0.000299894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003009143,"threshold_uncertainty_score":0.006893277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03363084568663677,"score_gpt":0.263802782445876,"score_spread":0.2301719367592392,"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."}}