{"id":"W2807110764","doi":"10.1109/ictai.2017.00121","title":"Deep Fusion of Multiple Networks for Learning Latent Social Communities","year":2017,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Nvidia","keywords":"Computer science; Artificial intelligence; Deep learning; Machine learning; Data 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":[0.001629685,0.001147063,0.0008318523,0.00293172,0.0006734164,0.0009382282,0.001272821,0.001243331,0.001500588],"category_scores_gemma":[0.00427359,0.0005260246,0.001287742,0.001753308,0.0008473921,0.003672207,0.002194608,0.001880222,0.0004478925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622585,"about_ca_system_score_gemma":0.0007722132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008025805,"about_ca_topic_score_gemma":0.009850284,"domain_scores_codex":[0.999211,0.0002253445,0.00002979241,0.0002139366,0.0001939359,0.0001260154],"domain_scores_gemma":[0.9988324,0.0004964189,0.0002287538,0.0001539758,0.0001841772,0.0001043074],"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":[0.0003478854,0.0002501674,0.007385275,0.0001958686,0.0002943131,0.0002481652,0.0004348778,0.681802,0.0071226,0.03317562,0.00446112,0.2642821],"study_design_scores_gemma":[0.000002881684,0.00001144257,0.0003000235,0.000006914119,0.000008041274,0.00001595562,0.00002139897,0.9867616,0.0005796218,0.01194541,0.0003420933,0.000004566873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05554685,0.0005663431,0.9404963,0.0003895983,0.00004390462,0.00006522888,0.0003236474,0.0009367655,0.001631291],"genre_scores_gemma":[0.8355641,0.0005382773,0.159579,0.0001853963,0.00007302313,0.0001293092,0.001233996,0.00009282861,0.002604163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008025805,"threshold_uncertainty_score":0.01595813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03307098078445497,"score_gpt":0.2926591071405805,"score_spread":0.2595881263561255,"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."}}