{"id":"W4410560796","doi":"10.18280/isi.300421","title":"Impact of Intelligent Systems and AI Automation on Operational Efficiency and User Satisfaction in Higher Education","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automation; User satisfaction; Computer science; Engineering management; Human–computer interaction; Engineering","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":[0.04461138,0.0005925865,0.002310515,0.006600594,0.0009060821,0.005709125,0.0009366214,0.001127368,0.002892978],"category_scores_gemma":[0.1202287,0.0004700304,0.004153545,0.009067008,0.002054184,0.003219615,0.002313124,0.001343174,0.0001964735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004351826,"about_ca_system_score_gemma":0.01133932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004016352,"about_ca_topic_score_gemma":0.00723185,"domain_scores_codex":[0.915342,0.05368753,0.01644023,0.00216065,0.01134866,0.001020948],"domain_scores_gemma":[0.7833071,0.1902491,0.01408279,0.001944333,0.009725824,0.0006908975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.0006066929,0.0001677697,0.01701361,0.4955692,0.008356767,0.0002656765,0.01050266,0.0007163992,0.0005278011,0.009732301,0.003219535,0.4533215],"study_design_scores_gemma":[0.000347532,0.002375694,0.1025319,0.7162761,0.03987078,0.001088644,0.02025203,0.001125391,0.002781533,0.01147216,0.1016139,0.0002642949],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05841633,0.9214827,0.003778213,0.004236435,0.0004394274,0.0009287837,0.0008507342,0.00002991171,0.00983754],"genre_scores_gemma":[0.5361272,0.4483339,0.009590017,0.002517087,0.0002478975,0.002004955,0.0003934669,0.00003071235,0.0007547755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04461138,"threshold_uncertainty_score":0.2359303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04907204466562663,"score_gpt":0.3561078814470653,"score_spread":0.3070358367814386,"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."}}