{"id":"W2113386367","doi":"10.1109/tvcg.2008.109","title":"A Framework of Interaction Costs in Information Visualization","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Visualization; Usability; Human–computer interaction; Data visualization; Risk analysis (engineering); 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":[0.01512849,0.002950188,0.001355418,0.008470509,0.002465693,0.01036663,0.003704505,0.003142815,0.007440033],"category_scores_gemma":[0.057723,0.001519997,0.001977027,0.005507474,0.009660043,0.01607521,0.006351883,0.004387153,0.0007118111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007408503,"about_ca_system_score_gemma":0.003312872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004767383,"about_ca_topic_score_gemma":0.00282897,"domain_scores_codex":[0.9728733,0.01363808,0.002037589,0.002270083,0.007774847,0.001406013],"domain_scores_gemma":[0.9349506,0.04643157,0.004918702,0.004893563,0.00735129,0.001454202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001235084,0.0001331673,0.002815908,0.0002888777,0.00007511215,0.0001563345,0.00100307,0.02670546,0.001326331,0.9245106,0.001340372,0.04152126],"study_design_scores_gemma":[0.00006907246,0.0002621332,0.004214497,0.0002466179,0.000114526,0.000483488,0.0009398008,0.1385757,0.00160027,0.8375053,0.01583724,0.0001512604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03324103,0.002615719,0.9298708,0.004004499,0.0001267237,0.0005539962,0.0002205392,0.0003575134,0.02900912],"genre_scores_gemma":[0.5021223,0.001359345,0.4894942,0.0003061637,0.0001618438,0.00169466,0.0002020341,0.000287383,0.004372085],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01512849,"threshold_uncertainty_score":0.08000809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02311717961259453,"score_gpt":0.3027173949095378,"score_spread":0.2796002152969433,"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."}}