{"id":"W4231872027","doi":"10.1007/978-1-4939-7131-2_101435","title":"Visual Social Network Analysis, Visual Analytics","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Visual analytics; Interactive visual analysis; Computer science; Social network analysis; Data science; Analytics; Cultural analytics; Visualization; World Wide Web; Artificial intelligence; Semantic analytics; Social media; The Internet","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":[0.0005819682,0.001288647,0.0005671443,0.003698229,0.0005446533,0.005037129,0.001082752,0.0009549874,0.04870703],"category_scores_gemma":[0.002726031,0.0005507722,0.0005517761,0.004402536,0.0009286206,0.005121712,0.001624438,0.001622019,0.02662295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009339511,"about_ca_system_score_gemma":0.000847592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002436347,"about_ca_topic_score_gemma":0.003835104,"domain_scores_codex":[0.9996604,0.00005625046,0.00001569439,0.00006466502,0.0001804325,0.00002259729],"domain_scores_gemma":[0.9993197,0.0003223152,0.00002337256,0.00009906031,0.000171908,0.00006375073],"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":[0.0000115135,0.00001974637,0.0001027001,0.0006450311,0.00001656205,0.00004488729,0.0003186981,0.001435131,0.00123096,0.1124335,0.4382957,0.4454456],"study_design_scores_gemma":[0.000003467399,0.000005241442,0.0002019319,0.0002857371,0.000007634875,0.0001677892,0.0001317569,0.003506307,0.0005329062,0.1534449,0.8416972,0.00001518443],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002115018,0.07773329,0.4308809,0.007631548,0.006311836,0.0001946354,0.002982664,0.01243586,0.4597142],"genre_scores_gemma":[0.03261195,0.09654269,0.2456083,0.002767942,0.006153678,0.000470627,0.007238092,0.007336086,0.6012706],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04870703,"threshold_uncertainty_score":0.1629413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771770258366149,"score_gpt":0.3200611880157037,"score_spread":0.2923434854320421,"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."}}