{"id":"W2080010225","doi":"10.1109/vissoft.2013.6650527","title":"SourceVis: Collaborative software visualization for co-located environments","year":2013,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Ministerio de Ciencia e Innovación; Victoria University; Ministerio de Ciencia, Innovación y Universidades","keywords":"Visualization; Computer science; Software visualization; Software; Human–computer interaction; Software development; Information visualization; Perspective (graphical); Software engineering; Software construction; Data mining; Operating system","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":[0.002037488,0.001638035,0.0009026651,0.001540508,0.001269177,0.003549615,0.002847885,0.002047527,0.0183109],"category_scores_gemma":[0.00700495,0.001023571,0.001248583,0.00128323,0.0008045987,0.004287013,0.008540522,0.002088656,0.003973919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000430554,"about_ca_system_score_gemma":0.000939135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001604875,"about_ca_topic_score_gemma":0.002101901,"domain_scores_codex":[0.9981858,0.0005519228,0.0001095759,0.0002733273,0.0007226824,0.0001566343],"domain_scores_gemma":[0.9966213,0.001327759,0.0001566663,0.001020192,0.0004592745,0.0004148155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001763945,0.00055726,0.003537924,0.001649131,0.0003140194,0.001696315,0.01055869,0.01434756,0.09163399,0.04619745,0.1316119,0.6961318],"study_design_scores_gemma":[0.001084744,0.0009105373,0.005540976,0.0006626831,0.0002021015,0.002439383,0.001548723,0.1829154,0.08156654,0.07130049,0.6513825,0.0004458592],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01302161,0.0003848518,0.8850259,0.0003802171,0.0001029879,0.0002983557,0.0007208329,0.09040851,0.009656847],"genre_scores_gemma":[0.1480688,0.0006808154,0.8198677,0.0002063517,0.0001268653,0.0009497274,0.002751254,0.01444115,0.01290736],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0183109,"threshold_uncertainty_score":0.06125605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017503363117366,"score_gpt":0.2731446015025397,"score_spread":0.262969567871366,"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."}}