{"id":"W2980593384","doi":"10.1145/3350546.3352511","title":"Deep Dynamic Mixed Membership Stochastic Blockmodel","year":2019,"lang":"en","type":"article","venue":"IEEE/WIC/ACM International Conference on Web Intelligence","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Dependency (UML); Feature (linguistics); Data mining; Task (project management); Artificial intelligence; 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":[0.0006949887,0.000593188,0.0007642927,0.0005499172,0.0003264918,0.0008308368,0.001801013,0.001121906,0.003528703],"category_scores_gemma":[0.00203665,0.0004484763,0.0006134619,0.0007518919,0.0005814714,0.002380599,0.0008912694,0.001486016,0.000761689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207834,"about_ca_system_score_gemma":0.001040384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01364465,"about_ca_topic_score_gemma":0.02058015,"domain_scores_codex":[0.9996473,0.0001009194,0.00001284613,0.000108223,0.00007401365,0.00005674758],"domain_scores_gemma":[0.9993424,0.0002973095,0.0000899459,0.0000789999,0.0001342107,0.0000570673],"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":[0.0001312291,0.00006253765,0.00179696,0.00005350955,0.00005861074,0.0000719784,0.00007270486,0.8905066,0.002294161,0.06112042,0.003338635,0.04049256],"study_design_scores_gemma":[0.000002177436,0.000004373087,0.0000633823,0.000001153023,0.000001998008,0.000003690637,0.000001717484,0.9938475,0.0001048084,0.005758267,0.0002093962,0.000001448579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05384826,0.0003250691,0.9403645,0.0006250222,0.00006527804,0.00003658527,0.0008828166,0.0007790643,0.003073535],"genre_scores_gemma":[0.8763165,0.0004034535,0.1046709,0.0002733183,0.00008210308,0.0002147912,0.002439275,0.0001462039,0.01545349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01364465,"threshold_uncertainty_score":0.02713042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04521166297137567,"score_gpt":0.3058278037402635,"score_spread":0.2606161407688878,"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."}}