{"id":"W4231149916","doi":"10.1007/978-1-4939-7131-2_101429","title":"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; Analytics; Computer science; Data science; Visualization; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005366243,0.001620409,0.0006041241,0.003000225,0.0007181352,0.005971478,0.001583165,0.0009218345,0.1643544],"category_scores_gemma":[0.002002685,0.000565037,0.0007437741,0.002516447,0.0008095545,0.004116631,0.00235117,0.001804398,0.102685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008474656,"about_ca_system_score_gemma":0.0009246314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001855838,"about_ca_topic_score_gemma":0.002248041,"domain_scores_codex":[0.9995054,0.00005761508,0.00002009634,0.0001011653,0.0002777794,0.00003791542],"domain_scores_gemma":[0.9993315,0.000176861,0.0000178961,0.0001553586,0.0002599881,0.00005856406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001886233,0.00002500411,0.00006583334,0.0003643057,0.00001457309,0.00004579615,0.0002479808,0.000970454,0.00236857,0.09637385,0.4706397,0.4288651],"study_design_scores_gemma":[0.000004141505,0.000005590368,0.0001052006,0.0001632717,0.000005935058,0.00008167085,0.00008674074,0.001791563,0.001059389,0.05912591,0.9375585,0.00001213586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001074816,0.007278312,0.2833916,0.002544562,0.001907279,0.0001988341,0.002382901,0.0138662,0.6873555],"genre_scores_gemma":[0.01213879,0.01010831,0.08691265,0.001319885,0.001178525,0.0002699079,0.005259286,0.004489062,0.8783235],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1643544,"threshold_uncertainty_score":0.5498202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03717745313734462,"score_gpt":0.3100823070406513,"score_spread":0.2729048539033067,"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."}}