{"id":"W2087347311","doi":"10.1145/1137702.1137717","title":"Exploring robust component-based software","year":2006,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Component-based software engineering; Software construction; Software sizing; Component (thermodynamics); Robustness (evolution); Software system; Software development; Software; Software engineering; Reliability engineering; Software design; Systems engineering; Engineering; Operating system","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":[0.001927773,0.0007892204,0.000573837,0.0009408766,0.0002757535,0.001158172,0.0009159035,0.000731692,0.001513707],"category_scores_gemma":[0.005908575,0.0004604288,0.0006314682,0.0006681554,0.001099711,0.001178552,0.001060123,0.0005718308,0.0003931434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005172636,"about_ca_system_score_gemma":0.0006272963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008891929,"about_ca_topic_score_gemma":0.0004967826,"domain_scores_codex":[0.9982938,0.0007869917,0.00006857593,0.0001753643,0.0006011021,0.00007413935],"domain_scores_gemma":[0.9977965,0.001444817,0.000172362,0.0002406158,0.0003122331,0.00003349103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001177576,0.0000569332,0.001034231,0.0003467937,0.00009833047,0.0001963095,0.0003127063,0.6678829,0.02274504,0.1752408,0.0005579757,0.1314104],"study_design_scores_gemma":[0.00001549177,0.0001266161,0.0002010997,0.000018851,0.00002916238,0.00006817492,0.00003744445,0.9291628,0.004664497,0.06230425,0.003357333,0.00001430317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01555899,0.0003789582,0.9816988,0.0000834184,0.000007697548,0.00002463619,0.00001056623,0.000277911,0.001959142],"genre_scores_gemma":[0.6011762,0.001018949,0.3959139,0.00005066902,0.00003664207,0.0001662606,0.0000894703,0.0001700155,0.001377885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001927773,"threshold_uncertainty_score":0.0101952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06775398232971076,"score_gpt":0.2187782178387219,"score_spread":0.1510242355090112,"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."}}