{"id":"W1566911402","doi":"","title":"Testing of communicating systems : 17th IFIP TC6/WG6.1 International Conference, TestCom 2005, Montreal, Canada, May 31 - June 2, 2005 : proceedings","year":2005,"lang":"en","type":"book","venue":"Springer eBooks","topic":"Power Systems and Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Model-based testing; Conformance testing; White-box testing; Non-regression testing; Model checking; Integration testing; Random testing; Keyword-driven testing; Executable; Manual testing; Liveness; Orthogonal array testing; Test case; System testing; Regression testing; Programming language; Operating system; Machine learning; Software system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001503592,0.001768875,0.001089092,0.001708049,0.0004961544,0.002680156,0.002119478,0.001487976,0.02077477],"category_scores_gemma":[0.003177079,0.0008831473,0.0005689771,0.002757482,0.001306947,0.001875467,0.000837562,0.001488253,0.007615842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328375,"about_ca_system_score_gemma":0.001707574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006808905,"about_ca_topic_score_gemma":0.01013307,"domain_scores_codex":[0.9986424,0.0002437355,0.00008383914,0.0001168716,0.0008452519,0.000067959],"domain_scores_gemma":[0.9974278,0.001304741,0.00009581762,0.0003338259,0.0007216245,0.0001161426],"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":[0.0001297322,0.00009519105,0.0005348391,0.0008275845,0.00005358941,0.0002273497,0.000207849,0.01011643,0.009667723,0.02497657,0.3239922,0.629171],"study_design_scores_gemma":[0.0001172112,0.000537456,0.002570393,0.001096458,0.0001505088,0.002345643,0.0001962209,0.07078201,0.03313233,0.0746607,0.8143212,0.00008989624],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00772588,0.05089025,0.8363953,0.004139532,0.003888746,0.0004505922,0.001730873,0.01132768,0.08345114],"genre_scores_gemma":[0.1193874,0.06876736,0.2667994,0.002197509,0.003625444,0.0008043771,0.01144059,0.005942398,0.5210354],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02077477,"threshold_uncertainty_score":0.06949854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180002735742952,"score_gpt":0.210400566182952,"score_spread":0.1886005388255225,"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."}}