{"id":"W1965769239","doi":"10.1109/vast.2010.5652968","title":"EmailTime: Visual analytics of emails","year":2010,"lang":"en","type":"article","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Visual analytics; Analytics; Visualization; Data visualization; Information retrieval; Human–computer interaction; World Wide Web; Data science; 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":[0.001551802,0.001300772,0.0007455588,0.006739383,0.0004956531,0.003021874,0.001058089,0.0007769649,0.01638062],"category_scores_gemma":[0.007800308,0.0004054746,0.0006989497,0.004004536,0.0003010273,0.003673601,0.002968146,0.00087179,0.004461388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000417711,"about_ca_system_score_gemma":0.0004315447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00258652,"about_ca_topic_score_gemma":0.003546817,"domain_scores_codex":[0.9991251,0.0002324531,0.00009481236,0.0001410151,0.0003419574,0.00006466721],"domain_scores_gemma":[0.995503,0.002260722,0.0003914039,0.0007777366,0.0007249752,0.0003421517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001519482,0.0003512883,0.01274766,0.001860671,0.0002429531,0.0006716163,0.004756221,0.0131612,0.02037713,0.02090781,0.2282564,0.6951475],"study_design_scores_gemma":[0.0003355896,0.0004754059,0.03806985,0.000905331,0.0001970651,0.001711043,0.004286184,0.3589689,0.0419075,0.1029782,0.4496799,0.0004848742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05563624,0.001519984,0.6241639,0.001358925,0.0004257046,0.0005720927,0.06738232,0.2298152,0.01912554],"genre_scores_gemma":[0.3655758,0.001840477,0.5539975,0.0004907834,0.0005297287,0.0009979859,0.0549223,0.01241193,0.009233519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01638062,"threshold_uncertainty_score":0.0547986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2643134046273855,"score_gpt":0.4921391602103981,"score_spread":0.2278257555830126,"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."}}