{"id":"W4399518558","doi":"10.2139/ssrn.4862100","title":"Dgt: Unbiased Sequential Recommendation Via Disentangled Graph Transformer","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Transformer; Computer science; Graph; Theoretical computer science; Engineering; Electrical engineering; Voltage","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":[0.002532078,0.001385519,0.002659085,0.002068406,0.0008628436,0.001998596,0.002989828,0.002037233,0.008676708],"category_scores_gemma":[0.01485386,0.001144388,0.001530442,0.003395923,0.001158953,0.005025623,0.00358725,0.002739739,0.004790857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008570547,"about_ca_system_score_gemma":0.002204441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004326947,"about_ca_topic_score_gemma":0.006013139,"domain_scores_codex":[0.9970922,0.00108757,0.0001267324,0.0006306553,0.0008778348,0.0001849526],"domain_scores_gemma":[0.9914604,0.004276554,0.0002622386,0.003005544,0.0007194042,0.0002758099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009908002,0.0003523515,0.001347376,0.0004485115,0.0002974569,0.0003219409,0.0002366689,0.2149232,0.009537756,0.1464462,0.03126421,0.5938334],"study_design_scores_gemma":[0.0000671393,0.00006748074,0.0001272398,0.00001592753,0.00003794611,0.0001006075,0.00001826856,0.907451,0.001974594,0.08714896,0.002971355,0.00001947384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003761406,0.0001993951,0.9924371,0.0001530366,0.00007557077,0.00007904763,0.0003997477,0.001520891,0.001373918],"genre_scores_gemma":[0.2649362,0.0006725179,0.7132497,0.0005547141,0.00029721,0.0003914789,0.003126871,0.0009685939,0.01580276],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008676708,"threshold_uncertainty_score":0.02902651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643228918653958,"score_gpt":0.2717586051688508,"score_spread":0.2553263159823112,"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."}}