{"id":"W2116218373","doi":"10.5555/2337223.2337429","title":"WorkItemExplorer: visualizing software development tasks using an interactive exploration environment","year":2012,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Data exploration; Task (project management); Human–computer interaction; Ask price; Software; Task management; Software development; Task analysis; Software engineering; Visualization; Systems engineering; Artificial intelligence; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005014126,0.0001650992,0.0001188472,0.0001855423,0.0001516872,0.0001691447,0.000476781,0.00005246738,0.00006243661],"category_scores_gemma":[0.0001315627,0.0001581385,0.00002813222,0.0002291146,0.00001830369,0.003846675,0.0004202101,0.0001565155,0.0002054561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003777573,"about_ca_system_score_gemma":0.00005248023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001143048,"about_ca_topic_score_gemma":0.000001083763,"domain_scores_codex":[0.9983975,0.00007394386,0.0002275021,0.0003226228,0.0004764267,0.0005019975],"domain_scores_gemma":[0.9989867,0.0002335447,0.00005168952,0.0004508391,0.00003642471,0.0002408234],"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":[0.00003803566,0.00190842,0.1596583,0.0001024943,0.0002249729,0.00003364899,0.09962066,0.0323415,0.01308244,0.004411391,0.0005064677,0.6880717],"study_design_scores_gemma":[0.001990362,0.0005590002,0.150378,0.0005277444,0.00003578957,0.0001259201,0.004932412,0.4220862,0.3451979,0.0009978507,0.06896526,0.004203508],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1748617,0.00008288703,0.8242065,0.00002463775,0.0002861024,0.0001388536,1.961384e-7,0.0003770964,0.00002203051],"genre_scores_gemma":[0.562658,0.00000402098,0.4371265,0.00003997277,0.00008152961,0.00003414608,0.000004944035,0.00001578327,0.00003514599],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6838682,"threshold_uncertainty_score":0.6448703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09802627681252768,"score_gpt":0.3253566351947563,"score_spread":0.2273303583822286,"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."}}