{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006643967,0.0000620178,0.0000540896,0.0001203131,0.00006733584,0.00006953027,0.0004797887,0.00003600076,0.00002483572],"category_scores_gemma":[0.0008887647,0.00005803466,0.00002452513,0.0004667834,0.00001206612,0.0003127547,0.0001885201,0.000106855,0.0001877369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001043829,"about_ca_system_score_gemma":0.00003152676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002978594,"about_ca_topic_score_gemma":0.000006065525,"domain_scores_codex":[0.9990631,0.000009067627,0.0001151496,0.0001920119,0.0002992432,0.0003214308],"domain_scores_gemma":[0.998962,0.0005388278,0.00001590354,0.0003279067,0.00007038401,0.00008496028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000008302698,0.000115104,0.307241,0.00009474188,0.00003049786,0.0001395269,0.001060107,0.001447955,0.009242258,0.2647095,0.01016878,0.4057423],"study_design_scores_gemma":[0.0004349516,0.000147248,0.9012293,0.00004615289,0.00000209263,0.00007066563,0.00006657196,0.07427331,0.01374688,0.005519216,0.003932233,0.0005314244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03671009,0.0000561655,0.9607695,0.00008084186,0.0002296219,0.00005487554,1.096498e-7,0.001019372,0.001079421],"genre_scores_gemma":[0.631471,2.746492e-7,0.3681146,0.00003067532,0.00004490413,0.0000015837,2.442273e-7,0.000004811909,0.0003318535],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.594761,"threshold_uncertainty_score":0.241304,"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."}}