{"id":"W2783864264","doi":"10.5539/mas.v12n2p54","title":"Grey Wolf Algorithm for Requirements Prioritization","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Software Engineering Research","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prioritization; Viewpoints; Analytic hierarchy process; Computer science; Requirement prioritization; sort; Hierarchy; Software; Process (computing); Order (exchange); Sorting; Operations research; Requirements engineering; Data mining; Algorithm; Mathematics; Management science; Requirements management; Database; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001022039,0.0001138651,0.00009764388,0.0002183495,0.0004399767,0.0003829252,0.001808415,0.00003903874,0.000004608276],"category_scores_gemma":[0.0002312063,0.000113731,0.00002213246,0.001142697,0.000358345,0.0006503958,0.0004208373,0.00007395899,0.00007829378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001490862,"about_ca_system_score_gemma":0.0002275696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004101101,"about_ca_topic_score_gemma":0.000001189718,"domain_scores_codex":[0.9977378,0.000006179423,0.000157236,0.000676111,0.0008404671,0.0005822137],"domain_scores_gemma":[0.9986641,0.0001148644,0.00004158834,0.0006690359,0.0003557242,0.0001546213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003729316,0.00004409127,0.0001893654,0.00001187073,0.000004332735,0.000001234061,0.0009587742,0.00006661573,0.1647572,0.01629228,0.000434043,0.8172365],"study_design_scores_gemma":[0.000262414,0.00006642219,0.001612172,0.000007751618,0.000001114894,0.000002417337,0.000004503716,0.9450849,0.04048424,0.01140276,0.0009064816,0.0001647701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003429581,0.00001315503,0.9943037,0.00008849179,0.0004223866,0.0004231692,0.00000202416,0.0003463575,0.0009711236],"genre_scores_gemma":[0.6097267,9.753359e-7,0.389812,0.00009728699,0.0001248497,0.00007634757,9.723801e-7,0.000009594748,0.0001512749],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9450184,"threshold_uncertainty_score":0.4637815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065307819921176,"score_gpt":0.3014379095046339,"score_spread":0.2707848313054221,"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."}}