{"id":"W1964199256","doi":"10.1145/1082983.1083201","title":"DISCOA","year":2005,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Component (thermodynamics); Programming language; Marshalling; Architecture description language; Software engineering; Architectural model; Code (set theory); Computer security model; Distributed computing; Software; Software architecture; Architecture; Operating system; Reference architecture; Set (abstract data type)","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":[0.0003746423,0.0004023794,0.000350852,0.0002346135,0.000106917,0.0001377476,0.00226962,0.0001451897,0.00001869426],"category_scores_gemma":[0.1919884,0.0004041739,0.0001367609,0.0005736091,0.00003704953,0.001149462,0.0008752573,0.0003863157,0.0001699977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001234355,"about_ca_system_score_gemma":0.0000431344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004993107,"about_ca_topic_score_gemma":0.000001419776,"domain_scores_codex":[0.9979424,0.0000358185,0.000355338,0.000617841,0.0003494997,0.0006990798],"domain_scores_gemma":[0.9454274,0.05235776,0.00008152562,0.00184915,0.00008199491,0.000202196],"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":[0.000008124917,0.0001061341,0.02923367,0.0001505813,0.00008888348,0.0000690404,0.001107953,0.6476372,0.006548005,0.01488415,0.001086089,0.2990802],"study_design_scores_gemma":[0.004352116,0.0008734321,0.4111098,0.001001063,0.000149763,0.0008875696,0.00005897265,0.0338546,0.2787435,0.01116558,0.2460676,0.01173601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01606841,0.0008932338,0.9760312,0.0007388206,0.0007485533,0.0001390285,0.000005171384,0.005371249,0.000004326038],"genre_scores_gemma":[0.3536942,0.00002113931,0.6457697,0.000134283,0.0002358977,0.00003416232,0.000004051884,0.0000446781,0.00006191618],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6137826,"threshold_uncertainty_score":0.999841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815249591613062,"score_gpt":0.2699692909500968,"score_spread":0.2418167950339661,"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."}}