{"id":"W4407776740","doi":"10.20944/preprints202502.1647.v1","title":"Agentic AI: A Quantitative Analysis of Performance and Applications","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"","keywords":"Artificial intelligence; Computer science; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01499798,0.000743105,0.0005562709,0.006944953,0.0008299703,0.003482919,0.0009279789,0.0008559077,0.001969587],"category_scores_gemma":[0.06956425,0.0002684892,0.0006055128,0.006480654,0.001205409,0.003783987,0.001586034,0.001010867,0.0007011173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255129,"about_ca_system_score_gemma":0.001048356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001571817,"about_ca_topic_score_gemma":0.0009973652,"domain_scores_codex":[0.9785312,0.008711345,0.001434196,0.001493083,0.009327774,0.000502295],"domain_scores_gemma":[0.8876421,0.077663,0.009831047,0.00794006,0.0153317,0.001592114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00106379,0.001283178,0.2972088,0.002741569,0.001384752,0.0003381108,0.009989236,0.08554784,0.02264046,0.03908069,0.01180184,0.5269198],"study_design_scores_gemma":[0.0001033584,0.003969181,0.4627186,0.0007208267,0.0005817126,0.001387835,0.0149987,0.3634894,0.0284458,0.04943694,0.07364719,0.0005004862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7442402,0.004641674,0.1900836,0.00159424,0.0002319217,0.001164364,0.003596093,0.001714382,0.05273355],"genre_scores_gemma":[0.9538018,0.000588868,0.04166801,0.0000932225,0.00006821065,0.0005376951,0.001136571,0.0001240658,0.001981465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01499798,"threshold_uncertainty_score":0.07931781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1297349774182158,"score_gpt":0.3772071575737725,"score_spread":0.2474721801555567,"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."}}