{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001458694,0.001036268,0.001392222,0.00168348,0.00064729,0.001028124,0.001059925,0.001077141,0.003889249],"category_scores_gemma":[0.002837137,0.0004838615,0.001043009,0.001626,0.0005143645,0.0009983211,0.0009930832,0.001068601,0.0005585146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008932817,"about_ca_system_score_gemma":0.002281649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00677495,"about_ca_topic_score_gemma":0.004485541,"domain_scores_codex":[0.9990461,0.0003103849,0.00007649206,0.0001684837,0.0002827364,0.0001157674],"domain_scores_gemma":[0.9992124,0.0004723788,0.00006958908,0.00003578001,0.0001772098,0.00003268154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001052418,0.0000946873,0.001175215,0.0002635952,0.0001119727,0.0001317669,0.0001812136,0.7426163,0.003515335,0.0150308,0.004296439,0.2324774],"study_design_scores_gemma":[0.00002562876,0.00005147136,0.0002177693,0.00001804788,0.00001491883,0.00003207306,0.00003537551,0.9887043,0.0007051685,0.008487019,0.001700456,0.000007854642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009571364,0.0003853711,0.9866166,0.0002060565,0.00004143391,0.0001200426,0.00008991627,0.0003477679,0.00262141],"genre_scores_gemma":[0.3272905,0.0005291725,0.6662127,0.0002323363,0.00005139438,0.0005699166,0.0004892469,0.0001247047,0.004500099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00677495,"threshold_uncertainty_score":0.01347107,"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."}}