{"id":"W4251686833","doi":"10.1109/icre.2004.1335682","title":"Helping analysts trace requirements:an objective look","year":2004,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University; National Aeronautics and Space Administration","keywords":"Tracing; Computer science; TRACE (psycholinguistics); Requirements analysis; Software engineering; Process (computing); Requirements management; Software requirements specification; Systems engineering; Engineering; Programming language; Software; Software design; Software development","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003124714,0.0001013102,0.0001000652,0.0001697937,0.00007737886,0.000151328,0.0007850287,0.0000375748,0.00002523269],"category_scores_gemma":[0.0001858102,0.00009489956,0.00004035912,0.0006055561,0.00002186071,0.0008872256,0.0001680029,0.0001309558,0.0001576624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231312,"about_ca_system_score_gemma":0.0001110764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001686635,"about_ca_topic_score_gemma":0.00003440479,"domain_scores_codex":[0.9987132,0.0000264529,0.0001299053,0.0003789456,0.0004143472,0.0003371492],"domain_scores_gemma":[0.9990597,0.0000933342,0.00002028174,0.0005927589,0.00008880952,0.0001451495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004728315,0.001719926,0.04825236,0.0001669782,0.0007552545,0.00102967,0.01898065,0.1871059,0.08061312,0.4886052,0.001585124,0.1711385],"study_design_scores_gemma":[0.006215789,0.002075638,0.3550771,0.0003505228,0.00003920384,0.0002286681,0.0009183558,0.1357841,0.4509934,0.04301145,0.002232498,0.003073166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1174252,0.00005598211,0.8801302,0.0002853348,0.0001477052,0.0001040796,2.322664e-7,0.0005435235,0.001307715],"genre_scores_gemma":[0.9226487,0.000002785948,0.07681461,0.00009346563,0.00005383737,0.00001087524,5.873521e-7,0.00000946023,0.0003656271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8052236,"threshold_uncertainty_score":0.3869892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02975596813782067,"score_gpt":0.306384623336623,"score_spread":0.2766286551988023,"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."}}