{"id":"W1556740091","doi":"10.1002/smr.572","title":"Contextualizing agile software development","year":2011,"lang":"en","type":"article","venue":"Journal of Software Evolution and Process","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Agile software development; Agile Unified Process; Lean software development; Software engineering; Agile usability engineering; Software development; Computer science; Extreme programming practices; Software development process; Software; Systems engineering; Engineering; Programming language","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":[0.0005917929,0.0001380533,0.0001975346,0.0001868299,0.0001396228,0.00007809912,0.0004821775,0.00008042337,0.00002505302],"category_scores_gemma":[0.0005111286,0.000117236,0.00004928607,0.0002501009,0.00003290766,0.001272171,0.00009205109,0.0002332642,0.00000541375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005601053,"about_ca_system_score_gemma":0.0001975162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007203893,"about_ca_topic_score_gemma":0.000001476687,"domain_scores_codex":[0.9989194,0.00003514945,0.0004065151,0.0001605747,0.0002873833,0.0001909887],"domain_scores_gemma":[0.9987731,0.000146411,0.0003900096,0.0001500566,0.0003990033,0.0001414261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002725861,0.000629304,0.1581711,0.0009548693,0.0003799484,0.0003252084,0.03913143,0.0001713237,0.0001706727,0.02406478,0.00667558,0.7690532],"study_design_scores_gemma":[0.006464104,0.00397562,0.4402812,0.004009939,0.0003046988,0.01088467,0.002580807,0.003256156,0.03457652,0.1900626,0.2987196,0.004884154],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01935428,0.002231838,0.9776273,0.00005041479,0.0003244244,0.00005992173,6.548e-7,0.0002679969,0.00008317814],"genre_scores_gemma":[0.5291818,0.00005585066,0.4705624,0.00009675953,0.00005067741,0.000003942485,3.203323e-7,0.000009041965,0.00003918327],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7641691,"threshold_uncertainty_score":0.4780748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03226817318530843,"score_gpt":0.2607337189416604,"score_spread":0.228465545756352,"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."}}