{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002126999,0.0001109716,0.0001005466,0.0001274746,0.0002144351,0.00007458378,0.00022437,0.0000495711,0.000008083953],"category_scores_gemma":[0.000006672427,0.00008894498,0.00006550192,0.001083927,0.00001909858,0.0007537225,0.00003474862,0.0001488839,0.00001192499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001149563,"about_ca_system_score_gemma":0.000006269231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002374462,"about_ca_topic_score_gemma":0.0000152768,"domain_scores_codex":[0.999065,0.00003976881,0.0001441927,0.0003380498,0.0001016066,0.0003113319],"domain_scores_gemma":[0.9995516,0.0001450055,0.00002840438,0.0001643886,0.00005725454,0.00005335938],"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":[0.00005316365,0.00002912912,0.002408212,0.00001498248,0.00003569572,0.000002682098,0.0001098561,0.5500995,0.0005525866,0.04912415,0.006698991,0.3908711],"study_design_scores_gemma":[0.0005332954,0.0002694742,0.001798894,0.00001700937,0.000006482453,0.000005223476,0.00004310378,0.9833847,0.0001522389,0.003233342,0.01036349,0.0001928032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008404125,0.00000643828,0.9882973,0.001331991,0.0002377477,0.0002964906,5.160792e-7,0.0008608766,0.0005644539],"genre_scores_gemma":[0.9532056,0.00008032349,0.04392331,0.0005843142,0.00013207,0.0001604923,0.0001298838,0.00003113308,0.001752833],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9448015,"threshold_uncertainty_score":0.3627071,"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."}}