{"id":"W4253985809","doi":"10.1109/icse.2013.6606674","title":"Situational awareness: Personalizing issue tracking systems","year":2013,"lang":"en","type":"article","venue":"2013 35th International Conference on Software Engineering (ICSE)","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Situation awareness; Computer science; Situational ethics; Human–computer interaction; Computer security; Engineering; Psychology","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":[0.0131191,0.001378896,0.0008528068,0.002889133,0.001411892,0.005076628,0.001991212,0.001661518,0.00304507],"category_scores_gemma":[0.05920231,0.001275641,0.0006317577,0.001395241,0.000923951,0.009920595,0.005241128,0.002464092,0.001238613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007842234,"about_ca_system_score_gemma":0.001252248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281173,"about_ca_topic_score_gemma":0.001631227,"domain_scores_codex":[0.9911318,0.004729927,0.0007124842,0.001975204,0.001102315,0.0003481765],"domain_scores_gemma":[0.9475769,0.02883988,0.004518922,0.01293419,0.004039964,0.002090094],"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":[0.000784923,0.001270456,0.04582763,0.0009287659,0.0002210708,0.0005227351,0.02874435,0.009946364,0.02832333,0.01018636,0.009414137,0.8638298],"study_design_scores_gemma":[0.0008470725,0.003767308,0.09776946,0.001561763,0.001909777,0.00442715,0.02751859,0.3389114,0.07500692,0.1005802,0.3464465,0.001253777],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1931129,0.001167815,0.7607098,0.002243885,0.0003400717,0.00126436,0.0002933928,0.02258023,0.01828764],"genre_scores_gemma":[0.6656066,0.0005279889,0.3272904,0.0004648009,0.000238152,0.0005038949,0.0006061609,0.0008896072,0.003872586],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0131191,"threshold_uncertainty_score":0.0693813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04786494677368267,"score_gpt":0.2867085756744576,"score_spread":0.238843628900775,"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."}}