{"id":"W2794729851","doi":"10.1016/j.infsof.2018.03.001","title":"Special section on Visual Analytics in Software Engineering","year":2018,"lang":"en","type":"article","venue":"Information and Software Technology","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Visualization; Visual analytics; Process (computing); Context (archaeology); Data science; Information visualization; Data visualization; Human–computer interaction; Analytics; Creative visualization; 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":[0.002608099,0.002804188,0.002359113,0.006957744,0.001913005,0.004813102,0.002362736,0.005841312,0.05772449],"category_scores_gemma":[0.008237719,0.000711148,0.001694326,0.003178233,0.001619179,0.004269582,0.003010346,0.005216145,0.0219785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457316,"about_ca_system_score_gemma":0.001487732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008424645,"about_ca_topic_score_gemma":0.002639986,"domain_scores_codex":[0.9979171,0.000367191,0.0002301979,0.0004674391,0.0008002548,0.0002178641],"domain_scores_gemma":[0.9880764,0.004398918,0.0005867978,0.0008267406,0.004145762,0.001965346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003721876,0.00005695238,0.0001193314,0.0003943299,0.00001953277,0.00013649,0.00002172127,0.0001123969,0.0004651608,0.002346879,0.9656547,0.03063519],"study_design_scores_gemma":[0.00001214436,0.00007270832,0.0006077761,0.000356374,0.00001919397,0.0004257644,0.00002833762,0.00033039,0.0002155524,0.003672905,0.9942412,0.00001766196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003629161,0.02475583,0.003193045,0.02218077,0.9221501,0.00006735754,0.00014032,0.000242881,0.02690664],"genre_scores_gemma":[0.002357182,0.02113686,0.0007677738,0.009548008,0.8992196,0.00008115346,0.0002111764,0.0003052359,0.06637315],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.05772449,"threshold_uncertainty_score":0.1931077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008342315570618404,"score_gpt":0.2514719885727999,"score_spread":0.2431296730021815,"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."}}