{"id":"W2084409438","doi":"10.1016/j.jvlc.2010.03.001","title":"IssuePlayer: An extensible framework for visual assessment of issue management in software development projects","year":2010,"lang":"en","type":"article","venue":"Journal of Visual Languages & Computing","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Dashboard; Team software process; Software development; Software engineering; Visualization; Software; Process (computing); Identification (biology); Software project management; Process management; Software development process; Knowledge management; Engineering management; Software construction; Engineering; Artificial intelligence","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":[0.002097974,0.0002070485,0.0004275938,0.0006311348,0.00009281051,0.0001486905,0.0009736546,0.0001156402,0.00001263019],"category_scores_gemma":[0.0006490526,0.0001898218,0.00009149092,0.0005733895,0.00003111616,0.0003590636,0.0004116594,0.0006981972,0.000002260962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001124189,"about_ca_system_score_gemma":0.0002802902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001284655,"about_ca_topic_score_gemma":0.000007882213,"domain_scores_codex":[0.9975469,0.00007645615,0.0007897383,0.0003253714,0.0007734617,0.0004880763],"domain_scores_gemma":[0.9976951,0.001037812,0.0004246559,0.0003138878,0.000367721,0.0001608496],"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":[0.00009091224,0.002259473,0.1103538,0.001111463,0.0003485463,0.000649393,0.01103528,0.00741271,0.01080758,0.009986941,0.0003112345,0.8456327],"study_design_scores_gemma":[0.003718759,0.003780088,0.6948862,0.002410436,0.00005690357,0.0003384975,0.00308363,0.2391609,0.04697169,0.001137102,0.003103704,0.001352133],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4993753,0.00007975037,0.4998085,0.00004313694,0.0004127979,0.0002184323,3.509274e-7,0.00004702132,0.00001466764],"genre_scores_gemma":[0.5035066,0.000002546007,0.4962343,0.0000315654,0.0001922663,0.000003736394,9.951802e-7,0.00001554324,0.00001240904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8442805,"threshold_uncertainty_score":0.7740707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02097988454379177,"score_gpt":0.4031775295866613,"score_spread":0.3821976450428695,"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."}}