{"id":"W4411405191","doi":"10.1109/comst.2025.3580745","title":"Deploying Foundation Model Powered Agent Services: A Survey","year":2025,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University Grants Committee; National Natural Science Foundation of China","keywords":"Foundation (evidence); Computer science; Geography; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.005780338,0.000327097,0.0004345135,0.0003959407,0.0008335581,0.0005836021,0.006251243,0.0001679325,0.00000922684],"category_scores_gemma":[0.00009436587,0.0003305539,0.0001300252,0.001922311,0.0000935674,0.0008635432,0.001388277,0.0003179663,0.0001292057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001505278,"about_ca_system_score_gemma":0.0004294151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005584361,"about_ca_topic_score_gemma":0.01690512,"domain_scores_codex":[0.9939495,0.003712854,0.0008215932,0.000635011,0.0004253848,0.000455611],"domain_scores_gemma":[0.9915717,0.001832157,0.0003376719,0.005387185,0.0007436728,0.0001276187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002477574,0.004342244,0.0661783,0.0013152,0.002306797,0.00001465456,0.04865374,0.05037352,0.05295392,0.5190294,0.00521506,0.2493694],"study_design_scores_gemma":[0.003181064,0.0001299846,0.09874794,0.0007135425,0.0001862909,0.000009407015,0.000511582,0.7433768,0.006695393,0.05589882,0.08847789,0.002071301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0420704,0.0009964244,0.9407215,0.001940295,0.004929101,0.0008191579,0.00006527891,0.0008355511,0.007622296],"genre_scores_gemma":[0.9660032,0.0003655672,0.03109245,0.001579245,0.0001256924,0.0001458909,0.0003178342,0.00002908737,0.0003410758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9239328,"threshold_uncertainty_score":0.9999146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05045941165787524,"score_gpt":0.3229948256637784,"score_spread":0.2725354140059031,"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."}}