{"id":"W2231544782","doi":"10.47749/t/unicamp.2004.320297","title":"Uma abordagem arquitetural com tratamento de exceções para sistemas de software baseados em componentes","year":2004,"lang":"pt","type":"dissertation","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Computer science; Humanities; Operating system; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005152882,0.001209929,0.001131312,0.001525626,0.002994873,0.00432969,0.001819565,0.002164123,0.00723651],"category_scores_gemma":[0.01586903,0.0008626098,0.001536799,0.001091598,0.001805013,0.003404707,0.00310312,0.003292293,0.001733485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008518586,"about_ca_system_score_gemma":0.002116396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005679263,"about_ca_topic_score_gemma":0.008734907,"domain_scores_codex":[0.9928115,0.0029229,0.0002960653,0.000795828,0.002760105,0.0004134856],"domain_scores_gemma":[0.9887999,0.005101014,0.0004942132,0.002800643,0.002528149,0.000275936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008416107,0.0007418467,0.003841963,0.001101338,0.0001345914,0.003278636,0.01527276,0.01313979,0.08431865,0.0377723,0.01566424,0.8238923],"study_design_scores_gemma":[0.000560144,0.001971938,0.01002722,0.001109609,0.001177207,0.006436706,0.01783181,0.2192491,0.3035932,0.05806062,0.3795041,0.00047835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1731358,0.002443847,0.7669793,0.004715187,0.0009569386,0.0007294022,0.0001372578,0.01530828,0.03559407],"genre_scores_gemma":[0.4154345,0.001968709,0.5433462,0.0007814337,0.0002375973,0.0002503545,0.0002752529,0.00246089,0.03524508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00723651,"threshold_uncertainty_score":0.02725136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0525621050181625,"score_gpt":0.3322719865312075,"score_spread":0.279709881513045,"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."}}