{"id":"W2156015672","doi":"10.1109/vlhcc.2008.4639061","title":"Tool support for working with sets of source code entities","year":2008,"lang":"en","type":"article","venue":"Proceedings/Proceedings -- IEEE Symposium on Visual Languages and Human-Centric Computing","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Set (abstract data type); Code (set theory); Source code; KPI-driven code analysis; Code review; Focus (optics); Programming language; Face (sociological concept); Software engineering; Static program analysis; Software; Software development","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":[0.01634457,0.00165352,0.001320949,0.00521565,0.001177379,0.004049472,0.004667135,0.002221436,0.007257042],"category_scores_gemma":[0.06358103,0.001466498,0.001782366,0.002682594,0.001460971,0.009972735,0.00657345,0.003516376,0.002087755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006924483,"about_ca_system_score_gemma":0.001965302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007814692,"about_ca_topic_score_gemma":0.001376225,"domain_scores_codex":[0.9873541,0.004452731,0.001850095,0.001886141,0.004026472,0.0004304925],"domain_scores_gemma":[0.866134,0.1027593,0.003765141,0.0182638,0.007114626,0.001963083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00145987,0.001073126,0.01155681,0.002780225,0.0003437768,0.003413143,0.01400486,0.01104977,0.07931245,0.04817611,0.03691069,0.7899191],"study_design_scores_gemma":[0.001328156,0.001555355,0.009507781,0.002618993,0.0004398946,0.009841949,0.004516653,0.330947,0.1426489,0.1409567,0.3546486,0.0009900731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.03077201,0.000217345,0.8822584,0.0007267896,0.00008396757,0.0004845712,0.0006656834,0.08090761,0.003883634],"genre_scores_gemma":[0.1600518,0.0002598167,0.8295401,0.000392978,0.00007402706,0.0007104183,0.002148395,0.004632783,0.002189722],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01634457,"threshold_uncertainty_score":0.08643931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511721503692811,"score_gpt":0.2960395147722234,"score_spread":0.2709222997352953,"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."}}