{"id":"W2157374570","doi":"10.1142/s0218194001000608","title":"SOFTWARE RESOURCE ARCHITECTURE","year":2001,"lang":"en","type":"article","venue":"International Journal of Software Engineering and Knowledge Engineering","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Resource-oriented architecture; Reference architecture; Software architecture description; Computer science; Applications architecture; Software architecture; Software engineering; Architecture tradeoff analysis method; Space-based architecture; Architecture; Software design description; Resource (disambiguation); Enterprise architecture framework; Computer architecture; Multilayered architecture; Software system; Software construction; Software; Operating system; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004517775,0.000226189,0.0002750197,0.0004624232,0.00004618346,0.0001436476,0.0009006071,0.0001052749,0.000006046937],"category_scores_gemma":[0.0008268057,0.0001976446,0.0001419898,0.0002906554,0.00001866703,0.000465079,0.0002168612,0.0004267329,0.000008962699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001107264,"about_ca_system_score_gemma":0.00006932713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002548339,"about_ca_topic_score_gemma":5.145798e-7,"domain_scores_codex":[0.9986432,0.00001656306,0.0004801735,0.0002191668,0.0003736592,0.0002672964],"domain_scores_gemma":[0.9987507,0.0003520744,0.0001362581,0.0002336143,0.0003428746,0.000184454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009751825,0.000282624,0.04072286,0.0004923044,0.0008357271,0.0008854063,0.005335039,0.4308122,0.001582523,0.002329944,0.002033627,0.5145902],"study_design_scores_gemma":[0.003515759,0.0005275619,0.04835156,0.00288891,0.00007301587,0.01319796,0.00009733678,0.182181,0.002408418,0.0004202801,0.7445374,0.001800795],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09778735,0.002561358,0.8967414,0.0001732976,0.002340286,0.0000546515,0.000001994882,0.0003038161,0.00003583871],"genre_scores_gemma":[0.8095725,0.0002437518,0.1884457,0.00005086343,0.001472686,0.000007093833,0.000002617734,0.00004529549,0.0001594327],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7425038,"threshold_uncertainty_score":0.8059711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005560298770386073,"score_gpt":0.2165708261330789,"score_spread":0.2110105273626928,"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."}}