{"id":"W3207535187","doi":"10.1109/mcg.2021.3112845","title":"Communicating Patient Health Data: A Wicked Problem","year":2021,"lang":"en","type":"preprint","venue":"IEEE Computer Graphics and Applications","topic":"Persona Design and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Calgary; University of Victoria; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Visualization; Computer science; Health care; Action (physics); Exploratory research; Process (computing); Space (punctuation); Data science; Work (physics); Data visualization; Patient data; Call to action; Human–computer interaction; Internet privacy; Artificial intelligence; Engineering; Business","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":[0.1263991,0.002391339,0.00184303,0.00430009,0.009527897,0.01838588,0.004571205,0.00577743,0.002478836],"category_scores_gemma":[0.1943968,0.002743539,0.002373569,0.002863297,0.02295826,0.02295147,0.01636934,0.00971558,0.0006732657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004573892,"about_ca_system_score_gemma":0.009043086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002759569,"about_ca_topic_score_gemma":0.002766026,"domain_scores_codex":[0.79315,0.1638625,0.01042908,0.00879876,0.0204016,0.003358098],"domain_scores_gemma":[0.5979605,0.3473915,0.01122575,0.02348431,0.0151673,0.004770694],"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":[0.0004322031,0.0005097845,0.01291791,0.004125649,0.0004431159,0.003210351,0.3138873,0.01503147,0.007800454,0.4223188,0.01046912,0.2088539],"study_design_scores_gemma":[0.000305885,0.0007109644,0.002832479,0.002451945,0.0004218146,0.005109967,0.1621506,0.05846729,0.01444604,0.5694492,0.1829679,0.000685885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06873611,0.001482875,0.8877952,0.02799264,0.0007317007,0.001265271,0.0001943431,0.001024157,0.01077779],"genre_scores_gemma":[0.3345803,0.0008668912,0.6571397,0.002428939,0.0002255233,0.001937866,0.0001177032,0.0003181681,0.002384962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1263991,"threshold_uncertainty_score":0.6684703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06862120949665804,"score_gpt":0.3046611163745018,"score_spread":0.2360399068778438,"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."}}