{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00609069,0.0002975576,0.0004132827,0.0008652196,0.0003340848,0.00109536,0.0008137601,0.0002155675,0.00001127373],"category_scores_gemma":[0.000192389,0.0002619856,0.0001288194,0.0006877488,0.0001301853,0.002422821,0.0004705125,0.0004659426,0.00001920058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004576738,"about_ca_system_score_gemma":0.0004331845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001102462,"about_ca_topic_score_gemma":0.000016989,"domain_scores_codex":[0.9965555,0.0002647729,0.001071864,0.0004504491,0.001111819,0.0005456093],"domain_scores_gemma":[0.9968723,0.0004028153,0.0002484854,0.0008198909,0.001503091,0.000153407],"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":[0.00003683268,0.001077268,0.003115322,0.006337819,0.0007360266,0.000003446562,0.14532,0.00005467469,0.0005359462,0.3812669,0.1128271,0.3486887],"study_design_scores_gemma":[0.001577481,0.001453437,0.001046883,0.005077507,0.0001358246,0.0002948169,0.07443538,0.7005381,0.002640592,0.02621595,0.185394,0.001190031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2438573,0.0141918,0.6761324,0.004433232,0.007462216,0.009825056,0.0002229901,0.001370905,0.04250408],"genre_scores_gemma":[0.9834943,0.000343056,0.0147536,0.00005578224,0.000214628,0.0005847126,0.00006141531,0.00003776536,0.0004547475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.739637,"threshold_uncertainty_score":0.9999833,"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."}}