{"id":"W2112920243","doi":"10.1109/icc.1991.162535","title":"A technique for improving software robustness to failure","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Robustness (evolution); Software engineering; Software reliability testing; Software; Reliability engineering; Software quality; Software construction; Software sizing; Software development; Engineering; Programming language","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":[0.002451878,0.001479465,0.0008737356,0.002842896,0.001318707,0.001631162,0.002474455,0.00151303,0.008043785],"category_scores_gemma":[0.01207327,0.0007549727,0.001977013,0.001610774,0.001949511,0.003777256,0.003239469,0.003037705,0.004501099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006471857,"about_ca_system_score_gemma":0.001034542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001126517,"about_ca_topic_score_gemma":0.001010812,"domain_scores_codex":[0.9956987,0.0006185349,0.0002207003,0.0007934007,0.002362262,0.0003064087],"domain_scores_gemma":[0.9936714,0.001760076,0.0007166759,0.002747128,0.0009834644,0.0001212791],"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":[0.0002866155,0.0001859647,0.001043831,0.0006854161,0.0002148746,0.0004922607,0.001007812,0.03580433,0.1384975,0.15043,0.01683568,0.6545157],"study_design_scores_gemma":[0.0001997701,0.001319884,0.002085275,0.0003866856,0.0006187406,0.003268606,0.0002831583,0.2728572,0.2546467,0.1652063,0.2988038,0.0003237934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003488323,0.0005639936,0.9847221,0.000340571,0.0001610197,0.00008722945,0.00004735194,0.004194162,0.006395315],"genre_scores_gemma":[0.1542342,0.001462973,0.824862,0.0008464907,0.0003839135,0.0003657551,0.0002301034,0.002050119,0.01556446],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008043785,"threshold_uncertainty_score":0.02690917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248302318602509,"score_gpt":0.2689345462851377,"score_spread":0.2441043144248868,"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."}}