{"id":"W2139836297","doi":"10.1007/978-3-642-00528-2_4","title":"Mining Research Communities in Bibliographical Data","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Exploit; Data science; Social network (sociolinguistics); Social network analysis; Information retrieval; Knowledge extraction; World Wide Web; Data mining; Social media","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002111441,0.0009181643,0.001210337,0.04587173,0.002491058,0.00375434,0.00173698,0.00117377,0.00297477],"category_scores_gemma":[0.01631765,0.0006158063,0.001894084,0.03778701,0.0007867665,0.005805058,0.003122715,0.001033079,0.002216703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000968272,"about_ca_system_score_gemma":0.001881798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004908192,"about_ca_topic_score_gemma":0.01537254,"domain_scores_codex":[0.9969391,0.0005292629,0.0004444426,0.0007920644,0.001071907,0.0002233379],"domain_scores_gemma":[0.9888023,0.005722617,0.001710788,0.0009800518,0.001983151,0.0008011134],"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":[0.0004969101,0.0005249468,0.1484785,0.004101447,0.001123912,0.001127426,0.00358718,0.006246094,0.0135645,0.01692574,0.0434876,0.7603357],"study_design_scores_gemma":[0.00023553,0.0005047679,0.2099281,0.003708637,0.003276537,0.007268791,0.01459965,0.2345582,0.02578504,0.1731288,0.3266543,0.0003516325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5282884,0.03055135,0.3214353,0.003053227,0.001002767,0.001508408,0.07701448,0.00484786,0.0322982],"genre_scores_gemma":[0.54999,0.007808715,0.3547167,0.0003119116,0.001000653,0.0009181022,0.0750322,0.0005827059,0.009639091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9541283,"threshold_uncertainty_score":0.01116645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1066840860878536,"score_gpt":0.3666192580311923,"score_spread":0.2599351719433387,"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."}}