{"id":"W1971118180","doi":"10.1109/coginf.2009.5250697","title":"Blog-based online social relationship extraction","year":2009,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Ranking (information retrieval); Similarity (geometry); Visualization; Social network (sociolinguistics); World Wide Web; Reading (process); Information retrieval; Measure (data warehouse); Social network analysis; Representation (politics); Similarity measure; Social media; Data science; Data mining; Artificial intelligence","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":[0.0006927483,0.0009356184,0.000667435,0.01103844,0.001150553,0.001410245,0.0008324867,0.0006933153,0.01140292],"category_scores_gemma":[0.003772769,0.0003470535,0.0006612706,0.006854229,0.0001720714,0.002474894,0.001333761,0.0005281309,0.01059519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005206121,"about_ca_system_score_gemma":0.0009601965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003373844,"about_ca_topic_score_gemma":0.009620082,"domain_scores_codex":[0.9991806,0.0001240638,0.00009161617,0.0001986819,0.000325473,0.00007953605],"domain_scores_gemma":[0.9985334,0.0004647086,0.0001954272,0.0002838732,0.0004280059,0.00009453164],"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":[0.0005119406,0.0004787213,0.02995234,0.001453432,0.0002062508,0.001333252,0.0006475002,0.002911295,0.01930662,0.007238875,0.1044262,0.8315337],"study_design_scores_gemma":[0.0001565823,0.0004218781,0.1070199,0.0004227653,0.0005258801,0.004794049,0.002826267,0.2450422,0.0587638,0.03013525,0.5496756,0.0002159299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1865546,0.004914482,0.4988015,0.001412751,0.0007715806,0.002598749,0.1683733,0.05346816,0.0831048],"genre_scores_gemma":[0.3683225,0.001894697,0.4340585,0.0002105834,0.0003605155,0.001322736,0.1534109,0.0009159336,0.03950365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01140292,"threshold_uncertainty_score":0.0381465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05747121935622217,"score_gpt":0.3333901848118035,"score_spread":0.2759189654555814,"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."}}