{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00230665,0.001222467,0.001078398,0.01143635,0.002189811,0.00208269,0.002261103,0.001951533,0.0008774775],"category_scores_gemma":[0.0141489,0.0005923045,0.001738924,0.009903424,0.0006531323,0.003443557,0.003042318,0.001209397,0.0006512512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007881134,"about_ca_system_score_gemma":0.001169029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004094176,"about_ca_topic_score_gemma":0.01130227,"domain_scores_codex":[0.9965796,0.0008299072,0.0002946129,0.0007317465,0.001340286,0.000223757],"domain_scores_gemma":[0.9928671,0.003477291,0.001092873,0.001012159,0.001207212,0.0003433104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004925251,0.0009914084,0.1775411,0.001234326,0.001271659,0.005691092,0.004209716,0.1310242,0.01393865,0.04945674,0.03014979,0.5839988],"study_design_scores_gemma":[0.00006166625,0.00009623478,0.01778533,0.0001563091,0.0001840038,0.001535614,0.002310102,0.8520599,0.008641067,0.0892752,0.02782663,0.00006795338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.258464,0.001756325,0.711917,0.001675079,0.000122823,0.0008574038,0.01774283,0.001997985,0.00546664],"genre_scores_gemma":[0.4592904,0.0008108575,0.5064532,0.000217225,0.0001086269,0.0005895408,0.03046374,0.0001161949,0.001950241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01143635,"threshold_uncertainty_score":0.01219893,"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."}}