{"id":"W2737474671","doi":"","title":"Visualization analysis and design: keynote address","year":2016,"lang":"en","type":"article","venue":"Journal of computing sciences in colleges","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Visualization; Computer science; Human–computer interaction; Task (project management); Resource (disambiguation); Space (punctuation); Information visualization; Visual analytics; Data visualization; Data science; Artificial intelligence; Systems engineering","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":[0.002399122,0.00008185586,0.0002310838,0.0009685016,0.0001496529,0.0002630452,0.0007580087,0.00003010089,0.000006356805],"category_scores_gemma":[0.0003489657,0.00005113357,0.00005325832,0.00315051,0.0001589213,0.0007887559,0.0001634167,0.00004613995,0.000001096706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003310238,"about_ca_system_score_gemma":0.0001373884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003533871,"about_ca_topic_score_gemma":0.000006456981,"domain_scores_codex":[0.9985062,0.0001977923,0.0004688134,0.0001951587,0.0004612711,0.0001707396],"domain_scores_gemma":[0.9986193,0.0005761197,0.000429964,0.0001270291,0.0001860408,0.00006161309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005698216,0.0005100546,0.370204,0.00005816623,0.0005018426,0.000181611,0.005289407,0.09171265,0.003666471,0.3773574,0.005602276,0.1448591],"study_design_scores_gemma":[0.0007790498,0.0003101149,0.03295096,0.0002318987,0.00005521948,0.00005707486,0.0001232184,0.9589593,0.002117961,0.00349231,0.0007077754,0.000215131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03975401,0.0001034715,0.9589423,0.000840975,0.0001881349,0.00003732655,8.357177e-7,0.00001384694,0.0001191063],"genre_scores_gemma":[0.9480454,0.0001042992,0.05157304,0.0001797903,0.00004479496,1.332071e-7,8.936042e-8,0.000002165558,0.00005031958],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9082913,"threshold_uncertainty_score":0.2536551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0422757311598243,"score_gpt":0.3537014500629259,"score_spread":0.3114257189031016,"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."}}