{"id":"W4385478332","doi":"10.1109/ijcnn54540.2023.10191717","title":"Transfer Learning with Graph Attention Networks for Team Recommendation","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Inference; Artificial intelligence; Machine learning; Graph; Transfer of learning; Autoencoder; Feature learning; Unsupervised learning; Deep learning; Embedding; Theoretical computer science","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":[0.001207494,0.001195718,0.001208649,0.001338694,0.0005334558,0.0007403889,0.00225561,0.001891844,0.002517822],"category_scores_gemma":[0.005115173,0.000541206,0.0009745985,0.001652293,0.0006646129,0.002394611,0.0009604371,0.00260455,0.0009151336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001974867,"about_ca_system_score_gemma":0.001083323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02614077,"about_ca_topic_score_gemma":0.02819064,"domain_scores_codex":[0.9993405,0.0002138405,0.00002719364,0.000223904,0.0001175177,0.00007714413],"domain_scores_gemma":[0.9986663,0.0008111606,0.0001194524,0.000171481,0.0001660449,0.00006556674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001758491,0.0002912991,0.002110691,0.0001284546,0.000146159,0.00008921172,0.00008938297,0.79298,0.001576844,0.008788774,0.008483135,0.1851404],"study_design_scores_gemma":[0.000006223508,0.00001669447,0.0001323795,0.000004353701,0.000007779036,0.000006045253,0.000005261271,0.9931667,0.0002566793,0.006090306,0.0003041949,0.000003331731],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05576476,0.002479391,0.9316148,0.001164021,0.0001705131,0.0001193711,0.0006453521,0.003773667,0.004268126],"genre_scores_gemma":[0.8273829,0.001077145,0.1594427,0.0006071771,0.0002001849,0.000200941,0.002454864,0.0002084119,0.008425568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02614077,"threshold_uncertainty_score":0.05197722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728375462978626,"score_gpt":0.250698453872047,"score_spread":0.2334146992422608,"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."}}