{"id":"W4402171355","doi":"10.1007/s10270-024-01204-x","title":"MUREQ: a multilayer framework for analyzing and operationalizing visualization requirements","year":2024,"lang":"en","type":"article","venue":"Software & Systems Modeling","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Beijing Municipal Natural Science Foundation; Beijing Municipal Commission of Education; National Natural Science Foundation of China","keywords":"Visualization; Operationalization; Computer science; Data visualization; Human–computer interaction; Information visualization; Interactive visualization; Data science; Data mining; Information retrieval","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":[0.007211276,0.00176612,0.001136142,0.00428508,0.001081035,0.006050509,0.002805363,0.001287848,0.006883181],"category_scores_gemma":[0.02508938,0.001585762,0.00308191,0.002384221,0.001149497,0.008763144,0.005494643,0.002762229,0.001644915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001420235,"about_ca_system_score_gemma":0.002979603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00972979,"about_ca_topic_score_gemma":0.01762603,"domain_scores_codex":[0.9937389,0.001870161,0.0007257452,0.0005205245,0.00265657,0.0004882354],"domain_scores_gemma":[0.9897142,0.004056879,0.0009933617,0.002606506,0.002204769,0.0004242591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005610723,0.0004946268,0.01525865,0.002069898,0.0006788918,0.001154855,0.003578694,0.1390835,0.02945963,0.3643581,0.03445157,0.4088506],"study_design_scores_gemma":[0.00003801583,0.0001085797,0.001851177,0.0002813929,0.0001644286,0.0003034226,0.0006162369,0.7995048,0.01290326,0.1398818,0.04424176,0.0001051949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004299713,0.00007765648,0.9875238,0.0001956166,0.00001642384,0.0001724371,0.0006779184,0.005491029,0.001545308],"genre_scores_gemma":[0.0655069,0.000193271,0.9288091,0.0001270171,0.00002307739,0.00035647,0.002071942,0.00112058,0.001791622],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00972979,"threshold_uncertainty_score":0.03813738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06892788394374555,"score_gpt":0.3671349784962137,"score_spread":0.2982070945524682,"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."}}