{"id":"W2294975522","doi":"","title":"Mining of Diverse Social Entities from Linked Data","year":2014,"lang":"en","type":"article","venue":"Mspace (University of Manitoba)","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Popularity; Computer science; Scalability; World Wide Web; Social network (sociolinguistics); Tree (set theory); Social web; Space (punctuation); Semantic Web; Linked data; Social Semantic Web; Web mining; Data science; Data mining; Social media; Web service; Database; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001434809,0.00005977233,0.0001359081,0.00005863752,0.000184276,0.00002447548,0.001706693,0.00004042606,0.000007500012],"category_scores_gemma":[0.00001605113,0.00007822552,0.00003327372,0.0001512252,0.0001188381,0.0004033811,0.001271892,0.00005174391,0.00001817456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001218217,"about_ca_system_score_gemma":0.00002404475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003217041,"about_ca_topic_score_gemma":0.01566149,"domain_scores_codex":[0.9993886,0.00003369837,0.00005940223,0.0002448982,0.0001715897,0.0001018052],"domain_scores_gemma":[0.9990537,0.0000762031,0.0001322988,0.0006496203,0.00005513322,0.00003300595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000571151,0.0007747048,0.08507552,0.0001789845,0.0005097811,0.00003319483,0.02025984,0.00007781193,0.007827668,0.1536189,0.2132888,0.5182977],"study_design_scores_gemma":[0.001557127,0.0001361933,0.4745675,0.00009112149,0.0001469004,0.000001686471,0.04152541,0.3283064,0.0004131547,0.001857889,0.150885,0.0005117293],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5755648,0.00001445137,0.4207076,0.001510963,0.0001362102,0.000059021,0.0004007423,0.00005360494,0.001552585],"genre_scores_gemma":[0.7601047,0.00001397437,0.2394596,0.00002861338,0.00008664422,9.241428e-8,0.0001593297,0.000004533997,0.000142594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.517786,"threshold_uncertainty_score":0.8739477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04476484864301485,"score_gpt":0.2269780456781061,"score_spread":0.1822131970350913,"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."}}