{"id":"W4414528919","doi":"10.1177/22104968251377338","title":"Hierarchical Blockmodeling for Knowledge Graphs","year":2025,"lang":"en","type":"article","venue":"Semantic Web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Gibbs sampling; Inference; Graphical model; Cluster analysis; Scalability; Probabilistic logic; Knowledge graph; Set (abstract data type); Graph; Generative model","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":[0.003215662,0.0009529854,0.001362785,0.002402237,0.001122015,0.002111492,0.003242024,0.002091876,0.006327884],"category_scores_gemma":[0.01687041,0.001050652,0.002372883,0.003015118,0.001991895,0.00543715,0.002004864,0.002953631,0.001434642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00324304,"about_ca_system_score_gemma":0.001932308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02290002,"about_ca_topic_score_gemma":0.03833732,"domain_scores_codex":[0.99752,0.001143904,0.0001050274,0.0006821587,0.0004090001,0.0001399241],"domain_scores_gemma":[0.9910741,0.00666849,0.0006606829,0.0009122886,0.0004838456,0.0002006547],"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":[0.0000498661,0.00003823228,0.001051034,0.0001291991,0.00008931845,0.0001023506,0.0002876048,0.5544408,0.0006193476,0.4172302,0.002339292,0.02362265],"study_design_scores_gemma":[0.000008140345,0.000007393273,0.0001216282,0.00001123392,0.00001086582,0.00002019583,0.00001445592,0.79341,0.0001014449,0.2048916,0.00139619,0.000006809463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004010404,0.0001610475,0.9940842,0.0002680024,0.00001793105,0.00004155371,0.0003494339,0.0002407399,0.0008266632],"genre_scores_gemma":[0.3701206,0.001132021,0.6148481,0.000551737,0.0001699629,0.0007939279,0.003725909,0.0004420181,0.008215669],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02290002,"threshold_uncertainty_score":0.04553342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02258983372043158,"score_gpt":0.2895466366985981,"score_spread":0.2669568029781666,"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."}}