{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001498096,0.00005613276,0.00006511444,0.00006568482,0.0001153825,0.00007145366,0.0002030803,0.00005673396,0.00001326279],"category_scores_gemma":[0.000007745613,0.00004838838,0.00004141677,0.0001642449,0.000005191,0.0002444146,0.00001115018,0.00008690413,0.0000143097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002624573,"about_ca_system_score_gemma":0.00002321723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002107858,"about_ca_topic_score_gemma":0.00001326074,"domain_scores_codex":[0.9994761,0.00003989096,0.0001359092,0.0001423671,0.0001064729,0.0000993058],"domain_scores_gemma":[0.9996828,0.00004179103,0.00004989334,0.0001684379,0.00003155264,0.00002557023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002704657,0.0002596625,0.002382575,0.000004150825,0.000003608945,0.000005604294,0.0001328096,0.000007795335,0.0006519011,0.828455,0.02346951,0.1446247],"study_design_scores_gemma":[0.0009377376,0.000496292,0.5817295,0.00003414253,0.00001072676,0.00004281506,0.00007933506,0.1173827,0.009196533,0.2099462,0.07941297,0.0007309882],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004740806,0.0000116911,0.9621329,0.01251356,0.0001253028,0.0000754939,5.021438e-7,0.0005988541,0.01980093],"genre_scores_gemma":[0.9016209,4.261518e-7,0.09692716,0.0009257341,0.00009231527,0.000002690748,0.000003492892,0.000001848623,0.0004254295],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8968801,"threshold_uncertainty_score":0.1973221,"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."}}