{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093393,0.0001111287,0.00009845815,0.0002828748,0.00006479374,0.0001268863,0.0006754301,0.00005720894,0.00001889179],"category_scores_gemma":[0.0005158836,0.000095189,0.00002750162,0.001773579,0.00001574051,0.0002618793,0.0002037315,0.0001862528,0.00019224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001604321,"about_ca_system_score_gemma":0.00007973425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001726297,"about_ca_topic_score_gemma":0.000002876219,"domain_scores_codex":[0.9986257,0.00002775539,0.0001905915,0.0003062622,0.0004421815,0.0004075181],"domain_scores_gemma":[0.9989333,0.0003805692,0.00002639109,0.0004728897,0.0001002862,0.00008653205],"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":[0.0002324529,0.001145254,0.2244274,0.0002335857,0.0005467294,0.001402151,0.01926561,0.001770334,0.01080734,0.06489941,0.1668744,0.5083953],"study_design_scores_gemma":[0.005540418,0.003018299,0.3438125,0.001965513,0.00002650094,0.00008658614,0.0006259492,0.07165833,0.180905,0.001112349,0.3874281,0.003820531],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3159282,0.0000709035,0.6757589,0.0001993059,0.001041377,0.0003769248,4.207209e-7,0.001125483,0.005498476],"genre_scores_gemma":[0.975277,0.00000335185,0.02363962,0.0001904717,0.00004822771,0.000008291518,7.664551e-7,0.00001332272,0.0008189353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6593488,"threshold_uncertainty_score":0.3881695,"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."}}