{"id":"W2010981136","doi":"10.1007/s11334-005-0011-3","title":"Tracing requirements to defect reports: an application of information retrieval techniques","year":2005,"lang":"en","type":"article","venue":"Innovations in Systems and Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McGill University; National Aeronautics and Space Administration","keywords":"Tracing; Computer science; TRACE (psycholinguistics); Debugging; Information retrieval; Precision and recall; Relevance (law); Software; Data mining; Hierarchy; Software engineering; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003399424,0.001382127,0.001938134,0.0180833,0.001087817,0.003294938,0.00242619,0.001871497,0.003079223],"category_scores_gemma":[0.0223613,0.0005783678,0.001367571,0.009589844,0.0006729452,0.003871656,0.001515721,0.0009323717,0.002245508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008607219,"about_ca_system_score_gemma":0.001775916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005641162,"about_ca_topic_score_gemma":0.003943413,"domain_scores_codex":[0.995516,0.001056213,0.0004540201,0.0005344157,0.002260787,0.0001786248],"domain_scores_gemma":[0.9806958,0.01194297,0.001744299,0.002452216,0.002983843,0.0001809319],"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":[0.0002816953,0.0004387565,0.005068101,0.0006955503,0.0001614514,0.0004320603,0.001206527,0.01084128,0.01890867,0.006990574,0.004343634,0.9506317],"study_design_scores_gemma":[0.0003088881,0.001003054,0.01726681,0.0003498912,0.001150046,0.004277695,0.001800013,0.7881712,0.1070411,0.04442122,0.0338428,0.0003672414],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04215214,0.001269948,0.9443744,0.0002946913,0.00006233734,0.0004197059,0.0006639863,0.006730419,0.004032348],"genre_scores_gemma":[0.1529334,0.001139738,0.8408993,0.00008988922,0.00009629598,0.0001923545,0.001437141,0.0003615805,0.002850314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0180833,"threshold_uncertainty_score":0.01797807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140261464648562,"score_gpt":0.2750939962476525,"score_spread":0.2610678497827963,"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."}}