{"id":"W4366550150","doi":"10.1145/3544548.3581119","title":"Showing Flow: Comparing Usability of Chord and Sankey Diagrams","year":2023,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Chord (peer-to-peer); Usability; Computer science; Visualization; Interpretability; Engineering drawing; Human–computer interaction; Information retrieval; Data mining; Engineering; Artificial intelligence; Database","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":[0.01201387,0.001000584,0.0005995053,0.003114149,0.0005310709,0.002894921,0.0008240686,0.0009164434,0.00281953],"category_scores_gemma":[0.1026593,0.0003660865,0.0008030005,0.001501613,0.0006791318,0.003572038,0.001437492,0.000567037,0.000422911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006671962,"about_ca_system_score_gemma":0.000691189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001987411,"about_ca_topic_score_gemma":0.002154527,"domain_scores_codex":[0.9898229,0.00613086,0.001202277,0.0006849531,0.001762406,0.0003967226],"domain_scores_gemma":[0.8747138,0.1067942,0.004469217,0.00378631,0.008918247,0.001318305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01047046,0.001311344,0.1553466,0.01203255,0.0008244693,0.0009794966,0.1023808,0.008094299,0.0632719,0.005329783,0.01475365,0.6252047],"study_design_scores_gemma":[0.002366195,0.0244287,0.5490023,0.007836306,0.002276306,0.004288276,0.121041,0.08718874,0.07402303,0.02129467,0.1046968,0.001557696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665514,0.00126516,0.02384639,0.000329482,0.000140726,0.0003896959,0.000367838,0.001055101,0.006054277],"genre_scores_gemma":[0.9668256,0.0006628681,0.03032488,0.0001059119,0.0000569547,0.0002644282,0.0004246606,0.000312574,0.001022078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01201387,"threshold_uncertainty_score":0.06353617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06609989601488664,"score_gpt":0.3182332614233472,"score_spread":0.2521333654084605,"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."}}