{"id":"W7134197972","doi":"10.1109/bigdata66926.2025.11401803","title":"HMR-LLM: Hybrid Multimodal Sequential Recommendation with LLM Reranking","year":2025,"lang":"","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Feature (linguistics); Key (lock); Component (thermodynamics); Matching (statistics)","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":[0.00184886,0.002115554,0.002926985,0.003911259,0.001022643,0.001626616,0.002798331,0.002281332,0.009677251],"category_scores_gemma":[0.005745369,0.0009021527,0.001789191,0.00363907,0.0004026443,0.002672419,0.001936853,0.001845787,0.007929748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007044526,"about_ca_system_score_gemma":0.001575574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01965187,"about_ca_topic_score_gemma":0.0475045,"domain_scores_codex":[0.9981101,0.0005415041,0.0001270822,0.0004697232,0.0005755004,0.0001760713],"domain_scores_gemma":[0.9977351,0.0007575112,0.0000903605,0.000697878,0.0005694198,0.0001496667],"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":[0.0007281195,0.0005049856,0.001660552,0.000248836,0.0004128137,0.0001470757,0.00009516155,0.04982164,0.01066718,0.00225924,0.0390251,0.8944293],"study_design_scores_gemma":[0.0001062123,0.000120231,0.0004218545,0.00001483922,0.00007832119,0.0000889809,0.00003031985,0.9844229,0.004729659,0.004262556,0.005682154,0.00004203276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01406638,0.002036524,0.9539596,0.0003610181,0.0004317248,0.0002709307,0.001989915,0.02394562,0.002938288],"genre_scores_gemma":[0.1406178,0.0006166825,0.8371767,0.0004119837,0.0004760985,0.0003846534,0.005741916,0.001070257,0.01350382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01965187,"threshold_uncertainty_score":0.03907496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199863099612172,"score_gpt":0.2729516853016228,"score_spread":0.2509530543055011,"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."}}