{"id":"W4394939708","doi":"10.1007/978-3-031-47724-9_30","title":"Recommendation System over Multi-layer Complex Networks: A Wide and Deep Graph Convolutional Neural Network Approach","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Toronto Metropolitan University","funders":"","keywords":"Computer science; Convolutional neural network; Graph; Layer (electronics); Artificial intelligence; Theoretical computer science; Materials science; Nanotechnology","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":[0.000680151,0.0006656141,0.000980876,0.0005433689,0.000447586,0.001238113,0.001644709,0.001331849,0.003563423],"category_scores_gemma":[0.001760885,0.0005745504,0.0006605564,0.001089474,0.0003670358,0.001851721,0.0008443886,0.001805279,0.001316358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506696,"about_ca_system_score_gemma":0.001023916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04050074,"about_ca_topic_score_gemma":0.05706985,"domain_scores_codex":[0.9997371,0.00004725694,0.00001663319,0.00009470763,0.00005558264,0.00004871863],"domain_scores_gemma":[0.9992257,0.0003221491,0.00005122083,0.000156126,0.0001922144,0.0000524512],"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":[0.0002242989,0.0001954489,0.001601997,0.0001490254,0.0002602961,0.0001329657,0.00007371484,0.5390765,0.008680077,0.01921854,0.01463186,0.4157553],"study_design_scores_gemma":[0.0000029738,0.000009483391,0.0001078852,0.000002642068,0.000009950552,0.000007420649,0.000002310932,0.9967057,0.0004425763,0.002374186,0.0003309816,0.000003908815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0349549,0.001540657,0.9544728,0.000643638,0.0001509185,0.00005866913,0.0004619617,0.003137175,0.004579239],"genre_scores_gemma":[0.6026736,0.001532864,0.3697354,0.0003927965,0.000199274,0.00008938592,0.001424479,0.0002891329,0.02366309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04050074,"threshold_uncertainty_score":0.08052999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0357888649944184,"score_gpt":0.2477530131185071,"score_spread":0.2119641481240888,"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."}}