{"id":"W4242126313","doi":"10.1007/978-1-4614-6170-8_100801","title":"Visual Analytics","year":2014,"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; Computer science; Analytics; Data science; Artificial intelligence; Visualization","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001357322,0.0002157834,0.0002556805,0.0001885463,0.00005044576,0.0002378157,0.0008770842,0.0001704864,0.0007957752],"category_scores_gemma":[0.00001643878,0.0001920955,0.0001149284,0.00005170341,0.00003870825,0.0001071265,0.0003668404,0.0001420185,0.002183485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002570898,"about_ca_system_score_gemma":0.0000686169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001712575,"about_ca_topic_score_gemma":0.00000587964,"domain_scores_codex":[0.9988276,0.000007703621,0.0002748279,0.0003811369,0.0003529572,0.0001557486],"domain_scores_gemma":[0.9989279,0.00003859267,0.0001406141,0.0006572984,0.0001142288,0.0001213785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[1.63126e-7,0.000004234862,0.000001216192,0.000007589212,0.0000205821,0.000004777307,0.000005194488,0.000006371066,4.768776e-7,0.936903,0.05292749,0.01011889],"study_design_scores_gemma":[0.00006244938,0.00003212272,0.00000124312,0.00002104286,0.00001681319,0.000003637725,4.647813e-7,0.1427225,0.000009346929,0.01898342,0.8379033,0.000243602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[2.629046e-8,0.00001258914,0.5067632,0.0001317086,0.0001203224,0.00002422255,0.000003092255,0.000120801,0.492824],"genre_scores_gemma":[0.0002111547,0.00006702854,0.006330632,0.002279186,0.0001751155,3.757418e-7,0.00007601742,0.00002272248,0.9908378],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9179196,"threshold_uncertainty_score":0.9985934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963404047050453,"score_gpt":0.2954099495830136,"score_spread":0.265775909112509,"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."}}