{"id":"W1964950691","doi":"10.1145/1281421.1281440","title":"Aspects in Architectural Description","year":2007,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Software engineering; Computer science; Engineering; Architectural engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009981572,0.0003519006,0.0003283332,0.0005794006,0.00005906679,0.00009145973,0.001403714,0.0001558413,0.000004296262],"category_scores_gemma":[0.1832771,0.0003707728,0.00009366138,0.0009872246,0.0000338635,0.0006838833,0.0005001888,0.0005177732,0.00002580175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002093422,"about_ca_system_score_gemma":0.00003655704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003007124,"about_ca_topic_score_gemma":0.00002186156,"domain_scores_codex":[0.9978297,0.00003071082,0.0004218151,0.0005626917,0.0003263892,0.0008287227],"domain_scores_gemma":[0.9405371,0.05792318,0.00008497221,0.001209935,0.00007041956,0.0001744182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00004218902,0.0001223385,0.2250603,0.0002787643,0.00005314705,0.0007009208,0.002756528,0.4642798,0.0329496,0.02044639,0.00005713055,0.2532529],"study_design_scores_gemma":[0.0007090461,0.0001495143,0.9486052,0.0002201115,0.000008004135,0.0002261601,0.00001611344,0.001483095,0.03798574,0.008846847,0.0005512778,0.00119889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1839932,0.0004019077,0.812264,0.00007874612,0.000838184,0.0001456521,0.000001319358,0.002273483,0.000003473007],"genre_scores_gemma":[0.5024941,0.000004155838,0.4973428,0.00004099228,0.00007264323,0.00001060394,0.000002533249,0.00002633448,0.000005883113],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7235449,"threshold_uncertainty_score":0.9998744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03386948086107576,"score_gpt":0.2722562630989013,"score_spread":0.2383867822378255,"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."}}