{"id":"W4321271444","doi":"10.5753/wtf.2008.23143","title":"Geração Automática de Objetivos e Casos de Teste a partir de Redes de Petri Orientadas a Objetos","year":2008,"lang":"pt","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"","keywords":"Humanities; Computer science; 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":[0.002420451,0.001318042,0.001075009,0.001550641,0.0006915511,0.001861226,0.001737192,0.001224051,0.002776785],"category_scores_gemma":[0.01255034,0.0007246701,0.001013148,0.000703675,0.0008327902,0.002347502,0.001614491,0.000809948,0.0007940219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008107472,"about_ca_system_score_gemma":0.001029685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002759947,"about_ca_topic_score_gemma":0.003417216,"domain_scores_codex":[0.997716,0.0005338354,0.0001692504,0.0004102558,0.001001323,0.0001694497],"domain_scores_gemma":[0.9912671,0.003430257,0.0008147468,0.002591901,0.001648122,0.0002478143],"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":[0.0016181,0.0004468366,0.02528715,0.001038789,0.0002277658,0.001355319,0.001772929,0.1008084,0.2235253,0.01006392,0.001825268,0.6320302],"study_design_scores_gemma":[0.0001635035,0.001292365,0.01883602,0.0002295956,0.0004667546,0.002125786,0.00116289,0.5547326,0.3814741,0.0186738,0.02058027,0.0002623303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1605216,0.0005539731,0.8285317,0.0001962531,0.0001241441,0.0003129945,0.0001778442,0.006164317,0.003417181],"genre_scores_gemma":[0.6664336,0.0003720965,0.3282803,0.00009027754,0.00002707492,0.0001903658,0.0002818289,0.0005215578,0.003802938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002776785,"threshold_uncertainty_score":0.01280075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631357187412677,"score_gpt":0.269547050502618,"score_spread":0.2432334786284912,"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."}}