{"id":"W4376638876","doi":"10.18280/isi.280401","title":"An Autonomous Multi-Agent System for Customized Scientific Literature Recommendation: A Tool for Researchers and Students","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Pace; Process (computing); Recommender system; Collaborative filtering; Interface (matter); Human–computer interaction; Mechanism (biology); World Wide Web","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001551414,0.000753541,0.0008062565,0.001748199,0.000960897,0.001946677,0.001593793,0.001497435,0.009157547],"category_scores_gemma":[0.004307176,0.0004928262,0.0005303205,0.001248182,0.0002313774,0.001742614,0.00199799,0.0008351413,0.004860422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004259197,"about_ca_system_score_gemma":0.001146579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002207019,"about_ca_topic_score_gemma":0.003910373,"domain_scores_codex":[0.9993867,0.0001773895,0.00007510944,0.0001473876,0.0001791826,0.00003427092],"domain_scores_gemma":[0.9976491,0.0008396449,0.0001788861,0.0004116788,0.0004383723,0.000482299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001809274,0.001658026,0.01113767,0.0008570303,0.0004869275,0.001358488,0.001314115,0.01812553,0.05010202,0.00829021,0.1068097,0.798051],"study_design_scores_gemma":[0.0006951921,0.0005833971,0.005063363,0.0001275377,0.0003834036,0.0007762077,0.0005462467,0.7883354,0.03000182,0.01381336,0.1594289,0.0002451119],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05505258,0.0006083683,0.8054347,0.001737726,0.0004745559,0.001138032,0.001855725,0.1197666,0.01393177],"genre_scores_gemma":[0.2151547,0.0004280544,0.7563173,0.0006277745,0.0001648757,0.001029419,0.002665609,0.001270913,0.02234153],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9980533,"threshold_uncertainty_score":0.030635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05490989565567574,"score_gpt":0.3340357340161901,"score_spread":0.2791258383605144,"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."}}