{"id":"W2538976203","doi":"10.1109/sibcon.2005.1611189","title":"Automatic Detection of Local and Global Software Failures","year":2006,"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":"University of Waterloo","funders":"","keywords":"Computer science; Session (web analytics); Software; Software bug; Reliability engineering; Real-time computing; Software engineering; Operating system; Engineering","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":[0.001518974,0.0006454896,0.001242106,0.001548681,0.0005689849,0.001187484,0.001296741,0.001094826,0.001661473],"category_scores_gemma":[0.008064463,0.0004523695,0.0004819184,0.0007756086,0.001341557,0.002097612,0.002538624,0.001454462,0.0006872198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003312707,"about_ca_system_score_gemma":0.0006950301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007061397,"about_ca_topic_score_gemma":0.0008407628,"domain_scores_codex":[0.9977882,0.00051025,0.0000921832,0.0004900132,0.0008729848,0.0002464096],"domain_scores_gemma":[0.9903862,0.005092764,0.001086841,0.002011892,0.001143982,0.0002782474],"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":[0.001819911,0.0002160473,0.01402937,0.0003959239,0.0001521462,0.0006240261,0.0005211408,0.08864872,0.1283496,0.01550647,0.005482688,0.7442539],"study_design_scores_gemma":[0.0001163094,0.0004550701,0.01034983,0.00004877757,0.0001253347,0.0009319471,0.0001734832,0.8559695,0.07864069,0.04841613,0.004683441,0.00008951475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1502038,0.0005820125,0.8385354,0.0002222773,0.00007153662,0.00006818316,0.0001982103,0.007223007,0.002895482],"genre_scores_gemma":[0.8879544,0.0002156168,0.109109,0.00008538867,0.00007829408,0.00007757366,0.000317787,0.0002910451,0.001870791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001661473,"threshold_uncertainty_score":0.008033216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005874874903907173,"score_gpt":0.2401533166641044,"score_spread":0.2342784417601973,"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."}}