{"id":"W3216277728","doi":"10.32920/ryerson.14656509.v1","title":"A Study on Applicability of the Scrum Framework for Large Software Projects","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Scrum; Adaptability; Computer science; Process management; Overhead (engineering); Systems engineering; Software; Engineering management; Software development; Engineering","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":[0.02962305,0.0002839627,0.0004567788,0.001808477,0.000933976,0.002076519,0.0008587361,0.0006689015,0.002542846],"category_scores_gemma":[0.0829414,0.0002660544,0.000575032,0.002691953,0.000855425,0.003135356,0.001499687,0.0009091929,0.0002935343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002696986,"about_ca_system_score_gemma":0.004862899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001701582,"about_ca_topic_score_gemma":0.002430424,"domain_scores_codex":[0.9738141,0.01942315,0.001386779,0.001036432,0.003594251,0.0007452678],"domain_scores_gemma":[0.7946348,0.1701465,0.01364796,0.004133387,0.01384356,0.003593901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002088554,0.006982678,0.2778729,0.01359471,0.0005463691,0.00506367,0.2398729,0.00447367,0.01286546,0.01994911,0.002770672,0.4139194],"study_design_scores_gemma":[0.0006364189,0.02991226,0.5884999,0.009325892,0.0004910251,0.002237805,0.2968971,0.006583303,0.005472502,0.005336395,0.05442479,0.0001826457],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892058,0.001219198,0.002020189,0.0005256776,0.00002002089,0.0005118654,0.00004836476,0.000007332419,0.006441367],"genre_scores_gemma":[0.9950524,0.001159956,0.002469797,0.0001863861,0.00001465405,0.0004514206,0.00004553639,0.00000570577,0.000614042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02962305,"threshold_uncertainty_score":0.1566635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0537554353937395,"score_gpt":0.3369725958010408,"score_spread":0.2832171604073013,"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."}}