{"id":"W2052398640","doi":"10.1109/mcg.2005.102","title":"Evaluating visualizations: do expert reviews work?","year":2005,"lang":"en","type":"article","venue":"IEEE Computer Graphics and Applications","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":217,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Usability; Computer science; Visualization; Heuristics; Human–computer interaction; Set (abstract data type); Expert system; Data visualization; Data science; Information visualization; Focus (optics); User interface; Heuristic evaluation; Interactive visualization; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004323676,0.0001567209,0.0001795746,0.0001706563,0.0003373162,0.0004444961,0.0005975429,0.00005487579,0.00001129111],"category_scores_gemma":[0.000009094403,0.000146731,0.00006705672,0.001024334,0.00006229338,0.0003881827,0.0001598998,0.00009617514,0.00008431463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001348141,"about_ca_system_score_gemma":0.00002772691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002077792,"about_ca_topic_score_gemma":0.000002963603,"domain_scores_codex":[0.9986572,0.00007526954,0.0004062701,0.0004559794,0.0002140034,0.0001913251],"domain_scores_gemma":[0.9988461,0.00007655712,0.0001482834,0.0006530163,0.000142102,0.0001338979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[3.047157e-7,0.00008465265,0.00009481419,0.000009552246,0.000008713074,1.521509e-7,0.000208664,0.0001517722,0.00003530783,0.5681306,0.01040944,0.420866],"study_design_scores_gemma":[0.0001497584,0.00002002008,0.0001491485,0.00003509589,0.000007523699,0.000004511132,0.000003554602,0.4247343,0.0000429403,0.002899029,0.5717647,0.0001894014],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001852653,0.002201361,0.9957892,0.0009334435,0.00009445976,0.0003830521,0.000003830332,0.000160627,0.0002488102],"genre_scores_gemma":[0.07485095,0.01805175,0.8811923,0.02138809,0.002679483,0.001059277,0.0001521503,0.00006412919,0.0005618471],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5652316,"threshold_uncertainty_score":0.5983515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08895323162627967,"score_gpt":0.4014014550314654,"score_spread":0.3124482234051857,"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."}}