{"id":"W1985506576","doi":"10.1145/1838687.1838696","title":"Organizing a software architecture body of knowledge","year":2010,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Software engineering; Computer science; Architecture; Software architecture description; Body of knowledge; Reuse; Knowledge management; Software architecture; Software development; Software; Reference architecture; Engineering; Programming language; Geography","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006076048,0.0005764588,0.0006528725,0.0004787721,0.0001308032,0.00008761333,0.003075304,0.0003379298,0.00002462063],"category_scores_gemma":[0.3461929,0.0005797954,0.0002081727,0.001187516,0.0001062003,0.0005496964,0.001340291,0.001164919,0.00003834821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000532076,"about_ca_system_score_gemma":0.0001446557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001074355,"about_ca_topic_score_gemma":0.000004840911,"domain_scores_codex":[0.9974028,0.00005787633,0.0005702397,0.000782655,0.0003913954,0.0007949597],"domain_scores_gemma":[0.9179895,0.07840332,0.0002225124,0.002756428,0.0003404864,0.0002877417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003185765,0.0003996661,0.1087532,0.0017129,0.000322278,0.0001470722,0.005389064,0.118396,0.5764927,0.0104879,0.0004986663,0.1773687],"study_design_scores_gemma":[0.002279368,0.0006777995,0.23699,0.0009350063,0.0001461938,0.000579534,0.00003603751,0.001642664,0.7274026,0.01197225,0.01210557,0.00523302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08059765,0.0005456685,0.9128929,0.00009245207,0.001810107,0.0002181269,0.00001486529,0.003825711,0.000002524024],"genre_scores_gemma":[0.404459,0.000008061996,0.5952249,0.00002361497,0.0001583942,0.00002549409,0.00000508984,0.00007670967,0.00001873203],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3455853,"threshold_uncertainty_score":0.9996653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783189830524095,"score_gpt":0.2615089308678019,"score_spread":0.2436770325625609,"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."}}