{"id":"W2261706461","doi":"","title":"A design for comprehensive kernel instrumentation","year":2010,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dependability; Instrumentation (computer programming); Computer science; Kernel (algebra); Key (lock); Software engineering; Systems engineering; Embedded system; 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":[0.001559705,0.0008121336,0.0007068181,0.0008453646,0.0007745369,0.002015261,0.002378882,0.001139258,0.005739823],"category_scores_gemma":[0.003864988,0.0009052843,0.0005037534,0.00045594,0.001019226,0.002762206,0.00250164,0.001766296,0.002660174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008732766,"about_ca_system_score_gemma":0.00149403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005243939,"about_ca_topic_score_gemma":0.000702722,"domain_scores_codex":[0.9981849,0.0003096394,0.0001770276,0.0004445783,0.0005976225,0.000286303],"domain_scores_gemma":[0.9968988,0.0004499506,0.000394969,0.001153634,0.0008545873,0.0002480167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001478673,0.0008787382,0.01129937,0.001536215,0.0002735362,0.0007872047,0.002194309,0.03910093,0.1976092,0.1986368,0.03586594,0.5103391],"study_design_scores_gemma":[0.0003020134,0.00190591,0.004494417,0.0003029071,0.0006048424,0.002063454,0.0002629849,0.3980028,0.2461962,0.06025775,0.2853323,0.0002745287],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01409256,0.0002555506,0.964352,0.0003525512,0.0001192925,0.0002534867,0.00009818483,0.01398592,0.006490432],"genre_scores_gemma":[0.3832757,0.0003285591,0.6007069,0.001263256,0.0001584993,0.0007492612,0.0003718272,0.001870434,0.01127548],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005739823,"threshold_uncertainty_score":0.0192017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04434629176322345,"score_gpt":0.3005795837496901,"score_spread":0.2562332919864666,"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."}}