{"id":"W2036164091","doi":"10.1109/re.2007.55","title":"Viewing Project Collaborators WhoWork on Interrelated Requirements","year":2007,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Requirements analysis; Computer science; Requirements engineering; Requirements management; Requirement prioritization; Set (abstract data type); Plan (archaeology); Non-functional requirement; Listing (finance); Interdependence; Work breakdown structure; Work (physics); Project management; Software requirements specification; Visualization; Software project management; Project team; Project management triangle; Software; Software development; Systems engineering; Knowledge management; Engineering; Project charter; Software design","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":[0.001423125,0.0007962578,0.000392906,0.003016565,0.0009567641,0.001876676,0.0007104398,0.001053535,0.02342384],"category_scores_gemma":[0.007215425,0.0003616033,0.0003315045,0.002342628,0.0003053929,0.003218422,0.002425094,0.0009736518,0.003378563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005112793,"about_ca_system_score_gemma":0.0009664632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004026306,"about_ca_topic_score_gemma":0.00532117,"domain_scores_codex":[0.9993045,0.0002915863,0.00003767875,0.0001105338,0.0001958372,0.00005984455],"domain_scores_gemma":[0.9962202,0.00191147,0.0003026554,0.0003656853,0.0007609474,0.000439074],"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":[0.001435036,0.0003854737,0.02952259,0.001494787,0.0001082305,0.004509936,0.167058,0.005474333,0.05064009,0.07655264,0.1729975,0.4898212],"study_design_scores_gemma":[0.0002623128,0.0004125284,0.03468497,0.001090136,0.0001862107,0.002617971,0.04895159,0.02444621,0.01654716,0.02559748,0.8449288,0.0002746496],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3393839,0.002532784,0.3838603,0.005923222,0.0008583282,0.0009443547,0.007760867,0.01753188,0.2412044],"genre_scores_gemma":[0.7276663,0.001725968,0.2197498,0.000446984,0.0001965626,0.0004917455,0.00471749,0.00317996,0.04182521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02342384,"threshold_uncertainty_score":0.07836056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04507655392333425,"score_gpt":0.3373198162288613,"score_spread":0.2922432623055271,"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."}}