{"id":"W4394805064","doi":"10.1109/tvcg.2024.3388560","title":"Struggles and Strategies in Understanding Information Visualizations","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Data visualization; Visualization; Information visualization; Human–computer interaction; Data science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.04183838,0.001920088,0.001259402,0.005863626,0.005663465,0.02181698,0.004075513,0.006280595,0.003551105],"category_scores_gemma":[0.151444,0.001805071,0.001976565,0.003769822,0.01202727,0.02640492,0.01242104,0.004710053,0.0006869668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003426857,"about_ca_system_score_gemma":0.002934691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003334258,"about_ca_topic_score_gemma":0.002567239,"domain_scores_codex":[0.9515934,0.03310688,0.002662183,0.003779528,0.006920873,0.001937068],"domain_scores_gemma":[0.9108884,0.06987556,0.005008665,0.005475278,0.006144621,0.002607512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008061416,0.00004657196,0.005185747,0.0004577073,0.00006825473,0.001317894,0.9172407,0.0008137496,0.004383372,0.04001296,0.002290879,0.02810148],"study_design_scores_gemma":[0.00006430262,0.0001538909,0.005104241,0.001319445,0.0001169429,0.003055091,0.756691,0.01338585,0.00329188,0.12005,0.09648002,0.0002872909],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7164583,0.005228246,0.2229599,0.0200774,0.0003639655,0.0005069327,0.0002194812,0.001101096,0.03308469],"genre_scores_gemma":[0.927408,0.001618125,0.06525204,0.0005449597,0.00007250942,0.000274236,0.0002170528,0.0004500648,0.004162986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04183838,"threshold_uncertainty_score":0.2212651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03140170672593965,"score_gpt":0.2992313061306608,"score_spread":0.2678295994047212,"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."}}