{"id":"W2985253063","doi":"10.1145/3356773.3356806","title":"SST'19 - Software and Systems Traceability","year":2019,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Traceability; Requirements traceability; Software engineering; Computer science; Context (archaeology); Software development; Software system; Change impact analysis; Event (particle physics); Systems engineering; Software; Engineering; Requirement; Programming language","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":[0.02475603,0.003040201,0.002537191,0.004988438,0.003894889,0.01105921,0.004603861,0.007831379,0.03189288],"category_scores_gemma":[0.03079936,0.001614909,0.003086884,0.004930678,0.005637643,0.009639454,0.007804585,0.009051573,0.02516582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005803732,"about_ca_system_score_gemma":0.01487013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01746651,"about_ca_topic_score_gemma":0.0120154,"domain_scores_codex":[0.9648586,0.007570506,0.003755104,0.002860395,0.01860994,0.002345512],"domain_scores_gemma":[0.964112,0.007682422,0.001459592,0.005615849,0.01794976,0.003180401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004374764,0.000384934,0.001521014,0.001362942,0.0001477041,0.0009284452,0.00122924,0.01120064,0.00984062,0.2981631,0.4223647,0.2524192],"study_design_scores_gemma":[0.0001011697,0.0003121969,0.0008997392,0.0006853117,0.00004203459,0.0006256931,0.000222792,0.00555739,0.006786962,0.07314502,0.911528,0.00009372288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008592037,0.008369808,0.4969756,0.04100743,0.0232322,0.002492826,0.006364658,0.0134302,0.3995353],"genre_scores_gemma":[0.1267687,0.02326715,0.357054,0.01578045,0.01593579,0.003100072,0.04315345,0.01292861,0.4020118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03189288,"threshold_uncertainty_score":0.130924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668425259771753,"score_gpt":0.242492195782453,"score_spread":0.2258079431847354,"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."}}