{"id":"W4403717157","doi":"10.1145/3698139","title":"The Elephant in the Room: Expert Experiences Designing, Developing and Evaluating Data Visualizations on Large Displays","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Data science; Human–computer interaction; Visualization; Data visualization; World Wide Web; 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":[0.02941427,0.001597225,0.00101242,0.002027305,0.004875637,0.004399064,0.003030078,0.003775833,0.00286218],"category_scores_gemma":[0.06343989,0.001116116,0.0009735902,0.001166416,0.006987405,0.006875525,0.006668966,0.002944232,0.0008348527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942806,"about_ca_system_score_gemma":0.002091707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001987765,"about_ca_topic_score_gemma":0.004534201,"domain_scores_codex":[0.9654237,0.02684594,0.001196533,0.002293622,0.002503042,0.00173709],"domain_scores_gemma":[0.9418523,0.04521032,0.001186976,0.002960322,0.004624476,0.004165497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002383071,0.0004963044,0.007106571,0.0005077687,0.00005356679,0.003645712,0.9395,0.001524987,0.008270127,0.001707454,0.004151742,0.0327975],"study_design_scores_gemma":[0.0001587711,0.002423791,0.008709247,0.0009910306,0.0001583601,0.004831501,0.8451128,0.01210646,0.01514681,0.005378404,0.1045405,0.0004424498],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521098,0.0006062979,0.03618152,0.001955016,0.00008442111,0.0002758112,0.00009871655,0.0003271746,0.008361212],"genre_scores_gemma":[0.9577496,0.0007473582,0.03477778,0.0008915538,0.00003751541,0.000230413,0.0001399633,0.0003036534,0.005122175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02941427,"threshold_uncertainty_score":0.1555594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1698963727235606,"score_gpt":0.4528813691341894,"score_spread":0.2829849964106288,"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."}}