{"id":"W2903881814","doi":"10.1109/tvcg.2018.2874730","title":"The 2018 Visualization Career Award","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Visualization; Computer science; Data visualization; Information visualization; Graphics; Human–computer interaction; Geovisualization; Data science; World Wide Web; Computer graphics (images); 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":[0.01305469,0.00160761,0.001845565,0.002636295,0.003418099,0.01297338,0.002213463,0.005861311,0.2398883],"category_scores_gemma":[0.02013864,0.0006889123,0.001729287,0.001549024,0.001046689,0.005009214,0.008732604,0.007979078,0.1504602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00395509,"about_ca_system_score_gemma":0.006478932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002790882,"about_ca_topic_score_gemma":0.00732273,"domain_scores_codex":[0.990726,0.001048093,0.0002886083,0.001065468,0.005331782,0.001540007],"domain_scores_gemma":[0.9598562,0.001223547,0.0005373565,0.001588489,0.01782591,0.01896852],"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":[0.00003967665,0.00003091105,0.0001251849,0.00002572793,0.000005490764,0.00006768085,0.00002390955,0.00007841695,0.000197712,0.005227096,0.9660411,0.02813709],"study_design_scores_gemma":[0.00001895558,0.00002870233,0.0002139164,0.00005068523,0.000003978083,0.00008634239,0.00004664775,0.0003925251,0.0002053727,0.002970836,0.9959697,0.00001229709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.003544069,0.008819211,0.03495802,0.2624414,0.3809042,0.0006396254,0.006044326,0.007344368,0.2953048],"genre_scores_gemma":[0.0143837,0.005144043,0.01106235,0.01042353,0.03213965,0.0005326517,0.007045159,0.003092722,0.9161762],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2398883,"threshold_uncertainty_score":0.8025063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02801754354224528,"score_gpt":0.2951942942840111,"score_spread":0.2671767507417658,"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."}}