{"id":"W4403222331","doi":"10.1145/3640457.3687112","title":"The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN)","year":2024,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Generative grammar; Risk analysis (engineering); Artificial intelligence; Business","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":[0.03069414,0.001815223,0.002906418,0.002511693,0.001106323,0.006955705,0.003662166,0.005396686,0.0146563],"category_scores_gemma":[0.06086058,0.001318615,0.002981057,0.001803949,0.002223551,0.00755781,0.006133283,0.007227657,0.004408889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003040658,"about_ca_system_score_gemma":0.003163607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009293372,"about_ca_topic_score_gemma":0.008823749,"domain_scores_codex":[0.9865496,0.008526926,0.0004936385,0.001697407,0.002200928,0.0005316736],"domain_scores_gemma":[0.9407824,0.04568783,0.0007802182,0.006474044,0.004476515,0.001798974],"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":[0.0007861317,0.0009168828,0.003928661,0.001080079,0.0008436986,0.0004449761,0.001707326,0.03979875,0.002404826,0.16645,0.1396318,0.6420068],"study_design_scores_gemma":[0.0002598563,0.000747811,0.004540343,0.002469913,0.0004913147,0.000708019,0.0009580556,0.1722185,0.004492308,0.3983999,0.4143872,0.0003267369],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02103083,0.07876762,0.8197028,0.03596426,0.01067269,0.0006632659,0.001585102,0.001813297,0.02980025],"genre_scores_gemma":[0.1794195,0.03713018,0.6916083,0.009122313,0.007410078,0.001334961,0.005004675,0.001971729,0.06699824],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03069414,"threshold_uncertainty_score":0.1623281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3030988114368454,"score_gpt":0.3884663649767621,"score_spread":0.08536755353991671,"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."}}