{"id":"W2011133830","doi":"10.1145/1871437.1871786","title":"Exploring and visualizing academic social networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Visibility; Visualization; World Wide Web; Set (abstract data type); Citation; Social network (sociolinguistics); Social network analysis; Data science; Data visualization; Information retrieval; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003294639,0.00005748492,0.0001063887,0.00008368849,0.0002058959,0.0002214145,0.0003705029,0.0000519102,0.0002984225],"category_scores_gemma":[0.0005073149,0.00004452716,0.00002632493,0.0002270816,0.00007219282,0.0008364762,0.0004015138,0.0002769851,0.0001233384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003074984,"about_ca_system_score_gemma":0.000005269253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003024585,"about_ca_topic_score_gemma":0.00008014908,"domain_scores_codex":[0.9987862,0.00005819284,0.0002714865,0.0002583535,0.0004541943,0.0001716187],"domain_scores_gemma":[0.9993021,0.000355809,0.00006190025,0.0001847126,0.00003138637,0.00006410292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005805662,0.000008849179,0.00117248,0.00000178565,0.000005606091,0.000001580678,0.0008716846,0.000006451828,0.0004688299,0.3733974,0.02117174,0.6028877],"study_design_scores_gemma":[0.0003450429,0.00002183166,0.06208567,0.000005366893,0.00001199117,0.000003356792,0.006576077,0.007464607,0.0002980824,0.04597623,0.8769175,0.0002942195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210377,0.00002794934,0.04932717,0.003493411,0.001303067,0.0001106717,0.000002658218,0.00009971573,0.02459764],"genre_scores_gemma":[0.9967341,0.00004397154,0.0006056884,0.0009830304,0.0003656527,0.000008373555,0.000001572767,0.000004090457,0.001253529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8557458,"threshold_uncertainty_score":0.3267517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6616171706478876,"score_gpt":0.501443923905629,"score_spread":0.1601732467422586,"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."}}