{"id":"W4308605908","doi":"10.1145/3570500","title":"Modeling User Reviews through Bayesian Graph Attention Networks for Recommendation","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Information Systems","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Inference; Semantics (computer science); Graph; Recommender system; Bayesian network; User modeling; Machine learning; Theoretical computer science; Information retrieval; Artificial intelligence; User interface","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001276398,0.0001830192,0.0002660592,0.0002889159,0.0008887305,0.0003586333,0.0006860804,0.00007637573,0.00002592843],"category_scores_gemma":[0.00001211886,0.0001799035,0.0002090299,0.000570779,0.00000660928,0.003545277,0.00002721044,0.0002400181,0.00001948353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001919872,"about_ca_system_score_gemma":0.00002657248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001563091,"about_ca_topic_score_gemma":0.000006683578,"domain_scores_codex":[0.9980301,0.0002389155,0.000987376,0.0002322394,0.0002631835,0.0002481998],"domain_scores_gemma":[0.9986503,0.0000762586,0.0003514762,0.0007383297,0.0001320461,0.00005155214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003900178,0.000134806,0.00002356128,0.0002887796,0.00009367021,2.463943e-7,0.002431374,0.717007,0.00001220354,0.03280983,0.02238195,0.2247775],"study_design_scores_gemma":[0.000289805,0.0001145328,0.000001728607,0.00004272376,0.000009349414,0.00001849958,0.0004049987,0.6445876,0.00001063669,0.0006003131,0.3537496,0.000170182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00002670646,0.00008923903,0.9928338,0.001126681,0.003011927,0.001771232,0.0000323383,0.0003883403,0.0007197177],"genre_scores_gemma":[0.9173067,0.0004078548,0.07430668,0.001261071,0.0001320408,0.005785268,0.0003303023,0.00002873096,0.000441399],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9185271,"threshold_uncertainty_score":0.7336251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0458326038559435,"score_gpt":0.2828956684031741,"score_spread":0.2370630645472306,"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."}}