{"id":"W2102500990","doi":"10.1109/iv.2004.59","title":"EzMail: using information visualization techniques to help manage email","year":2004,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; World Wide Web; Visualization; Focus (optics); User interface; Thread (computing); Annotation; Data visualization; Information visualization; Human–computer interaction; Data mining","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":[0.00268832,0.001076791,0.0003996933,0.002619766,0.0005118767,0.002493985,0.001063652,0.0007622321,0.005420261],"category_scores_gemma":[0.007295757,0.000460433,0.0003983701,0.001221804,0.0004673947,0.003618629,0.001836218,0.0008955879,0.001371934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003285846,"about_ca_system_score_gemma":0.000435296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001097181,"about_ca_topic_score_gemma":0.002268827,"domain_scores_codex":[0.9990236,0.0004625185,0.00007241626,0.0001466833,0.0002393563,0.00005545828],"domain_scores_gemma":[0.9945845,0.003652632,0.0004687081,0.0005537224,0.0005031421,0.0002373481],"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":[0.0007622176,0.0003374261,0.008102896,0.0009120766,0.0001284108,0.0005643827,0.00921536,0.003704215,0.04059603,0.009552873,0.03116076,0.8949634],"study_design_scores_gemma":[0.000810453,0.001922989,0.0526779,0.001149399,0.0006675808,0.004198676,0.007083318,0.257628,0.1360051,0.06962716,0.4675332,0.0006963356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09082245,0.001398569,0.8293117,0.001693714,0.0001083941,0.0004037396,0.001042105,0.06461301,0.0106063],"genre_scores_gemma":[0.2034416,0.000965148,0.7875624,0.0001468646,0.00008046318,0.0002844275,0.00111892,0.001462798,0.004937368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005420261,"threshold_uncertainty_score":0.01813263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09433184250482544,"score_gpt":0.3467795763540212,"score_spread":0.2524477338491957,"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."}}