{"id":"W3123031833","doi":"","title":"16th International Working Conference on Requirements Engineering: Foundation for Software Quality. Proceedings of the Workshops CreaRE, PLREQ, RePriCo and RESC","year":2010,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds De La Recherche Scientifique - FNRS; Deutsche Forschungsgemeinschaft","keywords":"Requirement prioritization; Requirements engineering; Engineering; Engineering management; Software engineering; Software requirements; Quality (philosophy); Requirements analysis; Software; Systems engineering; Software development; Requirement; Computer science; Software construction; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001723848,0.0005151359,0.000664921,0.0003446264,0.0001771686,0.0003543997,0.002110619,0.0005151823,0.00002107501],"category_scores_gemma":[0.006362404,0.0004846349,0.0002285413,0.0002179946,0.0002740052,0.0004859804,0.001773898,0.001245855,0.000003930848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003282359,"about_ca_system_score_gemma":0.0002927981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001297045,"about_ca_topic_score_gemma":0.00001086254,"domain_scores_codex":[0.9969084,0.00005896767,0.000908133,0.001193077,0.000490069,0.0004413959],"domain_scores_gemma":[0.9956782,0.00167449,0.001042727,0.0009644335,0.0005163761,0.0001237275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002864312,0.0003774711,0.5328813,0.002008365,0.0009598043,0.000007682707,0.004274891,0.03513486,0.007606576,0.3285431,0.001663336,0.08625612],"study_design_scores_gemma":[0.005778843,0.0006561254,0.6373003,0.01270201,0.000327186,0.0001890864,0.0006435093,0.07014296,0.02396358,0.2161718,0.02483986,0.007284763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.284429,0.0001036825,0.7066909,0.0004203595,0.006501696,0.0008391056,0.00003169204,0.0004547017,0.0005288398],"genre_scores_gemma":[0.3449684,0.00006789034,0.6538176,0.00009120332,0.0003486007,0.0002751684,0.0000185001,0.00005698129,0.0003556362],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1123714,"threshold_uncertainty_score":0.9997605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08489461231909312,"score_gpt":0.3254533826239089,"score_spread":0.2405587703048158,"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."}}