{"id":"W2010754032","doi":"10.1109/vissof.2007.4290711","title":"YARN: Animating Software Evolution","year":2007,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Animation; Yarn; Software; Software evolution; Computer graphics (images); Computer animation; Reverse engineering; Software system; Code (set theory); Engineering drawing; Programming language; Software construction; Engineering","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":[0.001255429,0.000718577,0.0004076606,0.0007561986,0.0004938441,0.001311487,0.001570611,0.00139097,0.007654073],"category_scores_gemma":[0.004530648,0.0005742178,0.0007662103,0.0004533227,0.001014407,0.001898193,0.001847008,0.001549108,0.001018873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004236028,"about_ca_system_score_gemma":0.0003646424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001332342,"about_ca_topic_score_gemma":0.001845832,"domain_scores_codex":[0.9995738,0.0001926207,0.00002147834,0.00007495991,0.0001128946,0.0000243142],"domain_scores_gemma":[0.9979594,0.00148277,0.00009761364,0.000261652,0.0001260015,0.00007256874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005439228,0.0002472422,0.004794909,0.00143591,0.0001805342,0.0009368004,0.009272906,0.2176746,0.1030983,0.13165,0.03411654,0.4960484],"study_design_scores_gemma":[0.0001866075,0.0002402685,0.001563382,0.0002481698,0.00008395064,0.0006311418,0.0005899986,0.7079008,0.03205155,0.05767605,0.1987158,0.0001121595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02042822,0.0002875247,0.9601049,0.0005642526,0.0001197445,0.000118145,0.0003419357,0.01162953,0.006405645],"genre_scores_gemma":[0.1294811,0.0005685505,0.86089,0.0002489711,0.00004707257,0.0003133144,0.0005809558,0.002473473,0.005396449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007654073,"threshold_uncertainty_score":0.02560544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422893524694508,"score_gpt":0.268271135988791,"score_spread":0.254042200741846,"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."}}