{"id":"W4412212567","doi":"10.4230/dagrep.14.5.58","title":"Evaluation Perspectives of Recommender Systems: Driving Research and Education (Dagstuhl Seminar 24211)","year":2024,"lang":"en","type":"article","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Joint Research Centre; Universität Innsbruck; Universität Duisburg-Essen; Universiteit Antwerpen; Universidade Federal de Minas Gerais; Göteborgs Universitet; Technische Universität Wien; Technische Universiteit Delft; Science Foundation Ireland; York University; Vrije Universiteit Brussel; Universität Siegen; University College Dublin; TU Graz, Internationale Beziehungen und Mobilitätsprogramme; Drexel University; University of Pittsburgh; University of Minnesota; National Science Foundation","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.07277546,0.0009820936,0.001168428,0.002852251,0.004072876,0.01118414,0.002403728,0.008001219,0.01101426],"category_scores_gemma":[0.03238954,0.0008937482,0.0008871382,0.002508244,0.009466097,0.01183309,0.00773381,0.01125757,0.004370467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01484516,"about_ca_system_score_gemma":0.008881629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004935371,"about_ca_topic_score_gemma":0.00414945,"domain_scores_codex":[0.9688585,0.02206223,0.0007296524,0.001598431,0.004690905,0.002060103],"domain_scores_gemma":[0.9734403,0.01741308,0.0007830909,0.0007460795,0.003708547,0.003908954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002806522,0.0002830962,0.0005267055,0.0006846841,0.00003083905,0.0002404322,0.009865479,0.001346837,0.0009062109,0.4892371,0.3030789,0.1935191],"study_design_scores_gemma":[0.00007995387,0.0002146362,0.001182947,0.001774202,0.00001992435,0.0001717071,0.005108783,0.001685443,0.0009531378,0.2243932,0.7643316,0.00008450879],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0110548,0.1671731,0.0361289,0.7145395,0.01288693,0.0001923458,0.0002908292,0.0002694497,0.05746429],"genre_scores_gemma":[0.5698747,0.1536813,0.08434288,0.06015546,0.02185176,0.001260786,0.0006756533,0.0009252709,0.1072322],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07277546,"threshold_uncertainty_score":0.384878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06446594382043357,"score_gpt":0.3821489684670414,"score_spread":0.3176830246466078,"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."}}