{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003727124,0.0002496243,0.0001732342,0.0003169999,0.001367537,0.0007982179,0.0006000909,0.0001248597,0.00001557849],"category_scores_gemma":[0.000007788413,0.0002010571,0.00009108913,0.001436947,0.0003020655,0.0005837252,0.00001583108,0.000134977,0.00006167595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003140729,"about_ca_system_score_gemma":0.00006496239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001526052,"about_ca_topic_score_gemma":0.00007099108,"domain_scores_codex":[0.998068,0.0001900306,0.0004179581,0.0005076171,0.0004965111,0.0003199218],"domain_scores_gemma":[0.9985036,0.0001399122,0.0001439115,0.0006105818,0.0004329444,0.0001690134],"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":[0.00001025833,0.0001184509,0.00005017131,0.00001115253,0.00004774949,0.000001210484,0.0006553944,0.00006801579,0.00001164723,0.9824819,0.004768469,0.01177557],"study_design_scores_gemma":[0.0003907898,0.0003041872,0.0001730551,0.00002912612,0.00002305626,0.00001254452,0.00003999866,0.937255,0.001980682,0.00108866,0.05842963,0.0002733081],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007236153,0.0000344012,0.9964611,0.0002427738,0.001806555,0.00019437,0.00001204519,0.0003755223,0.0001496529],"genre_scores_gemma":[0.9904934,0.001088752,0.001245625,0.005867876,0.0004026151,0.00003126472,0.00003443766,0.00005256099,0.0007834664],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9952154,"threshold_uncertainty_score":0.9999325,"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."}}